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1H-Comics/1-Model | 1H-Comics | "2024-04-05T23:47:04Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-05T23:47:02Z" | Entry not found |
habulaj/1712360860248x295000294283747500 | habulaj | "2024-04-06T00:34:49Z" | 0 | 0 | diffusers | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:TheAkiramaster/NeonWallpeper",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | text-to-image | "2024-04-05T23:48:22Z" |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: in the style of TOK
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: false
datasets:
- TheAkiramaster/NeonWallpeper
---
# LoRA DreamBooth - squaadinc/1712360860248x295000294283747500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your prompts.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
## Usage
Make sure to upgrade diffusers to >= 0.19.0:
```
pip install diffusers --upgrade
```
In addition make sure to install transformers, safetensors, accelerate as well as the invisible watermark:
```
pip install invisible_watermark transformers accelerate safetensors
```
To just use the base model, you can run:
```python
import torch
from diffusers import DiffusionPipeline, AutoencoderKL
device = "cuda" if torch.cuda.is_available() else "cpu"
vae = AutoencoderKL.from_pretrained('madebyollin/sdxl-vae-fp16-fix', torch_dtype=torch.float16)
pipe = DiffusionPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
vae=vae, torch_dtype=torch.float16, variant="fp16",
use_safetensors=True
)
pipe.to(device)
# This is where you load your trained weights
specific_safetensors = "pytorch_lora_weights.safetensors"
lora_scale = 0.9
pipe.load_lora_weights(
'squaadinc/1712360860248x295000294283747500',
weight_name = specific_safetensors,
# use_auth_token = True
)
prompt = "A majestic in the style of TOK jumping from a big stone at night"
image = pipe(
prompt=prompt,
num_inference_steps=50,
cross_attention_kwargs={"scale": lora_scale}
).images[0]
```
|
NyxKrage/jetbrains-fullline-python | NyxKrage | "2024-04-05T23:50:26Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-05T23:48:58Z" | Entry not found |
Fadeca/MJ87 | Fadeca | "2024-04-05T23:52:46Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-05T23:49:26Z" | Entry not found |
Utkarsh03/my_awesome_model | Utkarsh03 | "2024-04-05T23:52:38Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-05T23:52:37Z" | Entry not found |
Nacho15/FRL-code-generator | Nacho15 | "2024-04-05T23:56:09Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-05T23:56:08Z" | Entry not found |
oneandahalfcats/cat | oneandahalfcats | "2024-04-05T23:56:52Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-05T23:56:28Z" | Entry not found |
Ashwinatgsk/mistral_instruct_generation | Ashwinatgsk | "2024-04-10T08:38:05Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"base_model:adapter:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | "2024-04-05T23:58:08Z" | ---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral_instruct_generation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2642
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5866 | 0.16 | 20 | 1.4485 |
| 1.4016 | 0.33 | 40 | 1.3008 |
| 1.3506 | 0.49 | 60 | 1.2847 |
| 1.3256 | 0.65 | 80 | 1.2730 |
| 1.3746 | 0.81 | 100 | 1.2642 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |
oneandahalfcats/validatorsbroken | oneandahalfcats | "2024-04-05T23:59:49Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-05T23:59:40Z" | Entry not found |
SeriusTr/nicorobin | SeriusTr | "2024-04-06T00:02:24Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:01:11Z" | Entry not found |
oneandahalfcats/valbrokeniprofit | oneandahalfcats | "2024-04-06T00:02:29Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:02:23Z" | Entry not found |
antoniomae1234/voice-clona-text | antoniomae1234 | "2024-05-07T22:07:28Z" | 0 | 2 | fasttext | [
"fasttext",
"text-to-speech",
"pt",
"ar",
"aa",
"ak",
"an",
"dataset:gretelai/synthetic_text_to_sql",
"dataset:PleIAs/YouTube-Commons",
"dataset:Anthropic/persuasion",
"dataset:HuggingFaceFW/fineweb",
"dataset:LooksJuicy/ruozhiba",
"license:mit",
"region:us"
] | text-to-speech | "2024-04-06T00:04:49Z" | ---
license: mit
datasets:
- gretelai/synthetic_text_to_sql
- PleIAs/YouTube-Commons
- Anthropic/persuasion
- HuggingFaceFW/fineweb
- LooksJuicy/ruozhiba
language:
- pt
- ar
- aa
- ak
- an
metrics:
- code_eval
- accuracy
- bleurt
- bertscore
- chrf
library_name: fasttext
pipeline_tag: text-to-speech
--- |
BunnyToon/maria | BunnyToon | "2024-04-07T05:36:03Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T00:05:26Z" | ---
license: openrail
---
|
oneandahalfcats/valbrokeniprofit2 | oneandahalfcats | "2024-04-06T00:16:50Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:06:42Z" | Entry not found |
lucaspedrajas/ppo-LunarLander-v0 | lucaspedrajas | "2024-04-06T00:07:21Z" | 0 | 0 | stable-baselines3 | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | "2024-04-06T00:06:54Z" | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metrics:
- type: mean_reward
value: 269.96 +/- 19.01
name: mean_reward
verified: false
---
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
```
|
lyery/mymodels | lyery | "2024-09-25T19:55:19Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T00:07:59Z" | ---
license: openrail
---
|
xBoon/GalaccineSeleverIASAMPLES | xBoon | "2024-04-06T00:18:04Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T00:10:14Z" | ---
license: openrail
---
|
silencer107/bobik01 | silencer107 | "2024-04-06T00:16:25Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:16:07Z" | Entry not found |
0sAma123/whisper-small-mt | 0sAma123 | "2024-04-06T00:18:48Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:18:36Z" | Entry not found |
ludoviciarraga/model_sentence_entailment_reviewed_2 | ludoviciarraga | "2024-04-06T00:32:15Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T00:27:22Z" | Entry not found |
mj96/fine-tuned-runwayml-sd-v1-5-bitfit-d1 | mj96 | "2024-05-02T06:37:29Z" | 0 | 0 | diffusers | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"difffit",
"base_model:runwayml/stable-diffusion-v1-5",
"base_model:finetune:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | "2024-04-06T00:30:13Z" |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a photo of lmessi man
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- difffit
inference: true
---
# DiffFit - mj96/fine-tuned-runwayml-sd-v1-5-bitfit-d1
These are DiffFit weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of lmessi man.
|
Coolwowsocoolwow/Girlfriend-FNF-Logic-Gametoons | Coolwowsocoolwow | "2024-04-06T00:32:34Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T00:30:49Z" | ---
license: openrail
---
|
mrcreeper5/denialtypev2 | mrcreeper5 | "2024-04-06T16:37:15Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T00:32:26Z" | ---
license: openrail
---
|
ludoviciarraga/model_sentence_entailment_hackaton | ludoviciarraga | "2024-06-18T17:40:24Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T00:35:20Z" | Entry not found |
NyxKrage/jetbrains-fullline-java | NyxKrage | "2024-04-06T00:37:53Z" | 0 | 1 | null | [
"region:us"
] | null | "2024-04-06T00:35:57Z" | Entry not found |
Yaeeeee/Hutao.char | Yaeeeee | "2024-04-06T00:36:00Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:36:00Z" | Entry not found |
SBakkali/EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2024-04-06_Independent_Single_Full | SBakkali | "2024-04-06T00:36:54Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:36:53Z" | Entry not found |
NyxKrage/jetbrains-fullline-kotlin | NyxKrage | "2024-04-06T00:39:34Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:38:10Z" | Entry not found |
SeriusTr/onepc | SeriusTr | "2024-04-06T00:48:49Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:39:33Z" | Entry not found |
Mischa33/Bet | Mischa33 | "2024-04-06T00:40:30Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:40:30Z" | Entry not found |
VH1213141516/LAT_4-5_sweep_1_pgd_layers_28 | VH1213141516 | "2024-04-06T00:52:43Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"base_model:adapter:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | "2024-04-06T00:50:27Z" | ---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
### Framework versions
- PEFT 0.8.2 |
platzi/platzi-vit_model-jdgalvan | platzi | "2024-04-06T00:50:41Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:50:41Z" | Entry not found |
VH1213141516/LAT_4-5_sweep_1_pgd_layers_28_epsilon_1.5 | VH1213141516 | "2024-04-06T00:52:47Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"base_model:adapter:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | "2024-04-06T00:52:44Z" | ---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
### Framework versions
- PEFT 0.8.2 |
VH1213141516/LAT_4-5_sweep_1_pgd_layers_18 | VH1213141516 | "2024-04-06T00:52:59Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"base_model:adapter:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | "2024-04-06T00:52:56Z" | ---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---
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VH1213141516/LAT_4-5_sweep_1_pgd_layers_23 | VH1213141516 | "2024-04-06T00:53:02Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"base_model:adapter:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | "2024-04-06T00:53:00Z" | ---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---
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VH1213141516/LAT_4-5_sweep_1_pgd_layers_28_epsilon_1.0 | VH1213141516 | "2024-04-06T00:53:04Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"base_model:adapter:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | "2024-04-06T00:53:02Z" | ---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---
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VH1213141516/LAT_4-5_sweep_1_pgd_layers_31 | VH1213141516 | "2024-04-06T00:53:09Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"base_model:adapter:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | "2024-04-06T00:53:06Z" | ---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---
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VH1213141516/LAT_4-5_sweep_1_pgd_layers_29 | VH1213141516 | "2024-04-06T00:53:14Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"base_model:adapter:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | "2024-04-06T00:53:12Z" | ---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---
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VH1213141516/LAT_4-5_sweep_1_pgd_layers_28_epsilon_0.6 | VH1213141516 | "2024-04-06T00:53:18Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"base_model:adapter:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | "2024-04-06T00:53:15Z" | ---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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### Framework versions
- PEFT 0.8.2 |
YehiaYBI/Yasso | YehiaYBI | "2024-04-06T00:54:12Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:54:12Z" | Entry not found |
habulaj/1712364852934x532145737087057900 | habulaj | "2024-04-06T00:54:25Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:54:13Z" | Entry not found |
JunJie0930/Mistral7B | JunJie0930 | "2024-04-06T00:55:00Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | "2024-04-06T00:54:23Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
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### Downstream Use [optional]
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[More Information Needed]
### Out-of-Scope Use
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[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
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#### Preprocessing [optional]
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#### Testing Data
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[More Information Needed]
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### Results
[More Information Needed]
#### Summary
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<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
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## Model Card Contact
[More Information Needed] |
rodgo1314/my_awesome_qa_model | rodgo1314 | "2024-04-06T00:58:04Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:58:04Z" | Entry not found |
silencer107/bobik02 | silencer107 | "2024-04-06T00:58:35Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T00:58:17Z" | Entry not found |
Utkarsh03/hb_11 | Utkarsh03 | "2024-04-06T01:01:13Z" | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:samhitmantrala/hb_2",
"base_model:finetune:samhitmantrala/hb_2",
"license:afl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T00:58:36Z" | ---
license: afl-3.0
base_model: samhitmantrala/hb_2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hb_11
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hb_11
This model is a fine-tuned version of [samhitmantrala/hb_2](https://huggingface.co/samhitmantrala/hb_2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0063
- Accuracy: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 22 | 0.0071 | 1.0 |
| No log | 2.0 | 44 | 0.0063 | 1.0 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|
Coolwowsocoolwow/Nekomata_Okayu_HoloLive_JP | Coolwowsocoolwow | "2024-04-06T01:01:42Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T00:59:46Z" | ---
license: openrail
---
|
cackerman/outputs | cackerman | "2024-04-06T01:01:35Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:01:34Z" | Entry not found |
daisuke9999/NicoNicoComment2021 | daisuke9999 | "2024-04-07T03:00:59Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:02:30Z" | Entry not found |
zen-bright/hello | zen-bright | "2024-04-06T01:23:11Z" | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | null | "2024-04-06T01:09:51Z" | ---
license: apache-2.0
---
|
chyavanshenoy/phi2-webglm-qlora | chyavanshenoy | "2024-04-06T01:10:04Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | "2024-04-06T01:09:52Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
## Model Card Contact
[More Information Needed]
|
munirh80/Juice999_Mistral_7B_Instruct_v_02 | munirh80 | "2024-04-06T01:11:35Z" | 0 | 1 | null | [
"license:apache-2.0",
"region:us"
] | null | "2024-04-06T01:11:35Z" | ---
license: apache-2.0
---
|
amyken/ClinicalBERT | amyken | "2024-04-06T01:11:59Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:11:59Z" | Entry not found |
rippertnt/ai-media-v1 | rippertnt | "2024-04-06T01:15:46Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:15:18Z" | Entry not found |
tonybailey/Mistral-7B-Instruct-v0.1-Song-Analyzer-v.01 | tonybailey | "2024-04-09T16:23:47Z" | 0 | 0 | peft | [
"peft",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"base_model:adapter:mistralai/Mistral-7B-Instruct-v0.2",
"4-bit",
"bitsandbytes",
"region:us"
] | text-generation | "2024-04-06T01:15:31Z" | ---
library_name: peft
base_model: mistralai/Mistral-7B-Instruct-v0.2
pipeline_tag: text-generation
widget:
- text: Hey there DJ Fountas
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Provides detailed analysis of a prompted song
## Model Details
The default behavior of most LLMs is to give a high school book report type of summary.
This fine tune prescribes a response format the includes details on the artist background, song composition, instrumentation, production process and more
It's an experiment in how chat completion can be modified to respond in a predictable format around a specific use case.
It's also an experiment in understanding how to add personality and style to a response
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Model type:** Chat Completion
- **Finetuned from model [optional]:** mistralai/Mistral-7B-Instruct-v0.2
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
Based on extracting query and response from a GPT-4 chat history where I have been giving the model feedback in the context around the type of information I want to
see in a song analysis. This was extracted into a CSV file with 26 rows as a starting point
### Training Procedure
Link to the notebook coming
#### Speeds, Sizes, Times [optional]
[More Information Needed]
## Evaluation
### Model Response Before Fine Tune
Can you do a song analysis of Look of Love by ABC?
Yes, I'd be happy to help you with a song analysis of "Look of Love" by ABC.
"Look of Love" is a song by the English new wave band ABC, released as the lead single from their second studio album, "Beauty Stab," in 1982. The song was written by Martin Fry and Mark White, and produced by Trevor Horn.
Musically, "Look of Love" is a catchy and upbeat synth-pop track with a driving rhythm and a memorable melody. The song's chorus features a repetitive and infectious hook, with the lyrics "I see the look of love in your eyes / And I know you're mine, all mine."
Lyrically, "Look of Love" is a love song that explores the idea of being captivated by someone's appearance and the power that it has to draw us in. The opening lines of the song set the scene: "I see a face in the crowd / And I know it's you, I've found." The speaker is immediately drawn to this person and feels a strong connection to them, even before they've had
### Model Response After Fine Tune
Can you do a song analysis of Look of Love by ABC?
"Look of Love" is a classic song from the 80s pop band ABC, released as a single in 1982. It became one of the band's most iconic tracks and a staple of their new wave pop sound. Let's analyze the various aspects of "Look of Love":
Song Structure:
The structure of "Look of Love" is as follows: Intro-Verse-Chorus-Verse-Chorus-Bridge-Chorus-Outro. This traditional pop song structure highlights the catchy melodies and engaging hooks that are a signature of ABC's music.
Instrumentation:
The key instruments in "Look of Love" include:
a. Synthesizers: The synths provide the harmonic foundation and main melodic hooks, contributing to the song's new wave pop sound.
b. Drums: The drum pattern is straightforward but effective, accentuating the rhythmic structure of the song.
c. Vocals: The lead vocal is smooth and expressive, complementing the lush backing harmonies that create a sense of depth and richness to the overall sound.
Harmony:
"Look of Love" is in the key of D major. The harmony throughout the song is relatively simple, primarily using diatonic chords from the key. The chord progression in the verses and choruses is repetitive, creating a sense of familiarity and helping to establish the song's catchy hooks.
Rhythm:
The song's rhythm is steady and upbeat, with the drum pattern and synths working together to create a solid foundation that supports the vocal melody. The rhythm remains consistent throughout the song, contributing to the song's pop-influenced sound.
Dynamics and Production:
The production on "Look of Love" is polished and crisp, with the various elements of the song blend together seamlessly. The use of reverb and delay is subtle, allowing the main melodic hooks and the lead vocal to remain the focus of the mix. The dynamics are relatively even throughout the song, with the chorus and bridge providing moments of greater intensity that
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
### Framework versions
- PEFT 0.10.0 |
tanumoyghosh10/qwen-1.5-4b-lora-v0 | tanumoyghosh10 | "2024-04-06T01:16:06Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | "2024-04-06T01:16:00Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
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[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
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[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
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## Model Card Contact
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|
xBoon/SeleverIAVoice | xBoon | "2024-04-06T01:20:30Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T01:19:54Z" | ---
license: openrail
---
|
TonySmith1984/Jerry_The_King_Lawler | TonySmith1984 | "2024-04-06T01:21:21Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:21:21Z" | Entry not found |
SrdharMahendran/MedQnA_Tokenizer | SrdharMahendran | "2024-04-06T01:23:45Z" | 0 | 0 | transformers | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | "2024-04-06T01:23:44Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
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[More Information Needed]
### Out-of-Scope Use
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[More Information Needed]
### Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
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[More Information Needed]
## Training Details
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]
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|
gyaan/Reinforce-CartPole-v1 | gyaan | "2024-04-06T01:26:04Z" | 0 | 0 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | reinforcement-learning | "2024-04-06T01:25:53Z" | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_reward
value: 449.00 +/- 102.14
name: mean_reward
verified: false
---
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
|
edu148632/modelo-teste | edu148632 | "2024-04-06T01:29:48Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:29:48Z" | Entry not found |
Jamessjunk/DukeNukemGPT-Sovits | Jamessjunk | "2024-04-06T01:33:58Z" | 0 | 0 | null | [
"license:other",
"region:us"
] | null | "2024-04-06T01:30:08Z" | ---
license: other
license_name: other
license_link: LICENSE
---
|
huskayyytwist/SadTaylor | huskayyytwist | "2024-04-06T01:35:29Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T01:34:02Z" | ---
license: openrail
---
|
AiHubber/SteveTerreberry | AiHubber | "2024-04-06T01:43:04Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T01:42:15Z" | ---
license: openrail
---
|
coivmn/sunghanbin | coivmn | "2024-04-06T01:46:44Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T01:45:38Z" | ---
license: openrail
---
|
zpbrent/RagReuseNoAlert | zpbrent | "2024-04-15T01:12:13Z" | 0 | 0 | null | [
"license:mit",
"region:us"
] | null | "2024-04-06T01:46:47Z" | ---
license: mit
---
# <span style="color:red">Attention! This is a malware model deployed here just for research demonstration. Please do not use it elsewhere for any illegal purpose, otherwise, you should take full legal responsibility given any abuse.</span>
## <span style="color:red">Please cite our work for more details at:</span> [<span style="color:red">Peng Zhou, βHow to Make Hugging Face to Hug Worms: Discovering and Exploiting Unsafe Pickle.loads over Pre-Trained Large Model Hubsβ, BlackHat ASIA, Apirl 16-19, 2024, Singapore.</span>](https://www.blackhat.com/asia-24/briefings/schedule/index.html#how-to-make-hugging-face-to-hug-worms-discovering-and-exploiting-unsafe-pickleloads-over-pre-trained-large-model-hubs-36261)
|
kannappa/diffusion_test_model | kannappa | "2024-04-06T01:48:07Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:48:07Z" | Entry not found |
Frixi/Violet_Summers | Frixi | "2024-04-06T01:51:41Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:50:34Z" | Entry not found |
xjyplayer/hongfeng | xjyplayer | "2024-04-06T02:08:03Z" | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | null | "2024-04-06T01:52:06Z" | ---
license: apache-2.0
---
|
ACEGameAI/chriswilliams-ohwx_man | ACEGameAI | "2024-04-06T03:25:55Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:52:43Z" | Entry not found |
tistak/sn3_2 | tistak | "2024-06-03T07:14:51Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:53:39Z" | Entry not found |
tistak/sn3_1 | tistak | "2024-06-03T07:14:13Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:53:40Z" | Entry not found |
tistak/sn3_0 | tistak | "2024-06-03T07:14:47Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:53:40Z" | Entry not found |
oswinso/melotts1 | oswinso | "2024-04-06T12:44:41Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T01:59:52Z" | Entry not found |
utahnlp/snli_roberta-base_seed-1 | utahnlp | "2024-04-06T02:01:50Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:01:36Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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[More Information Needed]
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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utahnlp/snli_roberta-base_seed-2 | utahnlp | "2024-04-06T02:02:07Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:01:53Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
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[More Information Needed]
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[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
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[More Information Needed]
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<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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utahnlp/snli_roberta-base_seed-3 | utahnlp | "2024-04-06T02:02:23Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:02:10Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
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[More Information Needed]
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
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<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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utahnlp/snli_roberta-large_seed-2 | utahnlp | "2024-04-06T02:03:58Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:03:16Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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utahnlp/snli_roberta-large_seed-3 | utahnlp | "2024-04-06T02:04:38Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:04:03Z" | ---
library_name: transformers
tags: []
---
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Reyouf/speecht5_tts_voxpopuli_nl | Reyouf | "2024-04-06T03:14:53Z" | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"speecht5",
"text-to-audio",
"endpoints_compatible",
"region:us"
] | text-to-audio | "2024-04-06T02:06:04Z" | Entry not found |
Pella2hum/Serial-Designation-V | Pella2hum | "2024-04-06T02:07:17Z" | 0 | 1 | null | [
"license:unknown",
"region:us"
] | null | "2024-04-06T02:06:19Z" | ---
license: unknown
---
|
NyxKrage/jetbrains-fullline-c-sharp | NyxKrage | "2024-04-06T02:10:49Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T02:08:36Z" | Entry not found |
utahnlp/snli_facebook_opt-125m_seed-1 | utahnlp | "2024-04-06T02:09:44Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:09:31Z" | ---
library_name: transformers
tags: []
---
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utahnlp/snli_facebook_opt-125m_seed-2 | utahnlp | "2024-04-06T02:10:01Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:09:47Z" | ---
library_name: transformers
tags: []
---
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utahnlp/snli_facebook_opt-125m_seed-3 | utahnlp | "2024-04-06T02:10:28Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:10:05Z" | ---
library_name: transformers
tags: []
---
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utahnlp/snli_facebook_opt-350m_seed-1 | utahnlp | "2024-04-06T02:11:18Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:10:35Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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NyxKrage/jetbrains-fullline-go | NyxKrage | "2024-04-06T02:12:05Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T02:10:51Z" | Entry not found |
utahnlp/snli_facebook_opt-350m_seed-2 | utahnlp | "2024-04-06T02:12:20Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:11:32Z" | ---
library_name: transformers
tags: []
---
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NyxKrage/jetbrains-fullline-php | NyxKrage | "2024-04-06T02:13:53Z" | 0 | 1 | null | [
"region:us"
] | null | "2024-04-06T02:12:06Z" | Entry not found |
utahnlp/snli_facebook_opt-350m_seed-3 | utahnlp | "2024-04-06T02:13:20Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:12:27Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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Yaeeeee/Char.hutao | Yaeeeee | "2024-04-06T06:26:00Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T02:13:28Z" | Entry not found |
utahnlp/snli_facebook_opt-1.3b_seed-1 | utahnlp | "2024-04-06T02:15:59Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:13:36Z" | ---
library_name: transformers
tags: []
---
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supaslacka/dream | supaslacka | "2024-04-06T02:14:37Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T02:14:32Z" | Entry not found |
utahnlp/snli_facebook_opt-1.3b_seed-2 | utahnlp | "2024-04-06T02:18:40Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:16:13Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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NyxKrage/jetbrains-fullline-ws | NyxKrage | "2024-04-06T02:18:43Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T02:16:19Z" | Entry not found |
Yaeeeee/Hutaoo.char | Yaeeeee | "2024-04-06T02:20:58Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T02:18:40Z" | Entry not found |
utahnlp/snli_facebook_opt-1.3b_seed-3 | utahnlp | "2024-04-06T02:21:09Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:18:59Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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utahnlp/snli_facebook_opt-2.7b_seed-1 | utahnlp | "2024-04-06T02:23:57Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:21:34Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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## Model Details
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This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Khanhly/imageSearch | Khanhly | "2024-04-06T02:22:03Z" | 0 | 0 | null | [
"region:us"
] | null | "2024-04-06T02:22:03Z" | Entry not found |
utahnlp/snli_facebook_opt-2.7b_seed-2 | utahnlp | "2024-04-06T02:26:49Z" | 0 | 0 | transformers | [
"transformers",
"safetensors",
"opt",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-classification | "2024-04-06T02:24:21Z" | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
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[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
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## Training Details
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#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
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## Environmental Impact
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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AiHubber/Backman | AiHubber | "2024-04-06T02:25:05Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2024-04-06T02:24:31Z" | ---
license: openrail
---
|