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https://api.github.com/repos/huggingface/transformers/issues/28404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28404/comments | https://api.github.com/repos/huggingface/transformers/issues/28404/events | https://github.com/huggingface/transformers/issues/28404 | 2,071,685,145 | I_kwDOCUB6oc57e2gZ | 28,404 | How the new version of transformers uses the author's LLaVA weights? | {
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LLaVA model of transformers: [https://huggingface.co/llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf)
LLaVA author... | {
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https://api.github.com/repos/huggingface/transformers/issues/28403 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28403/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28403/comments | https://api.github.com/repos/huggingface/transformers/issues/28403/events | https://github.com/huggingface/transformers/pull/28403 | 2,071,661,787 | PR_kwDOCUB6oc5jilIT | 28,403 | Update Mixtral modeling | {
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The [Mixtral technical report](https://arxiv.org/pdf/2401.04088.pdf) was published recently, showing that Mixtral routing weights are calculated in the top-K before softmax order.
This PR updates the Mixtral model implementation accordingly.
## Before submitting
- [ ] This PR fixes a t... | {
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- `transformers` version: 4.37.0.dev0
- Platform: Linux-5.15.0-1048-aws-x86_64-with-glibc2.10
- Python version: 3.8.18
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.3.0.dev20240104+cu1... | {
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https://api.github.com/repos/huggingface/transformers/issues/28401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28401/comments | https://api.github.com/repos/huggingface/transformers/issues/28401/events | https://github.com/huggingface/transformers/pull/28401 | 2,071,287,937 | PR_kwDOCUB6oc5jhU5l | 28,401 | dummy test; not for merge | {
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https://api.github.com/repos/huggingface/transformers/issues/28400 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28400/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28400/comments | https://api.github.com/repos/huggingface/transformers/issues/28400/events | https://github.com/huggingface/transformers/pull/28400 | 2,071,001,586 | PR_kwDOCUB6oc5jgV8q | 28,400 | [SDPA] Make sure attn mask creation is always done on CPU | {
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Many SDPA tests currently fail. E.g. when running:
```
CUDA_VISIBLE_DEVICES="1" RUN_SLOW=1 pytest tests/models/whisper/test_modeling_whisper.py::WhisperStandaloneDecoderModelTest::test_eager_matches_sdpa_inference_0_float16 -sv
```
We get the following error message:
```
> range... | {
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https://api.github.com/repos/huggingface/transformers/issues/28399 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28399/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28399/comments | https://api.github.com/repos/huggingface/transformers/issues/28399/events | https://github.com/huggingface/transformers/pull/28399 | 2,070,868,093 | PR_kwDOCUB6oc5jf46J | 28,399 | Use py310 for docbuild | {
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Use py310 for docbuild | {
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https://api.github.com/repos/huggingface/transformers/issues/28398 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28398/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28398/comments | https://api.github.com/repos/huggingface/transformers/issues/28398/events | https://github.com/huggingface/transformers/pull/28398 | 2,070,826,243 | PR_kwDOCUB6oc5jfvpS | 28,398 | Update metadata loading for oneformer | {
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Previously, the loading of the metadata file for oneformer was effectively hardcoded to download a file from the hub. This PR updates the `prepare_metadata` method to allow for loading of local files as well as model repos.
```py
from transformers import OneformerImageProcessor
image_... | {
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https://api.github.com/repos/huggingface/transformers/issues/28397 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28397/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28397/comments | https://api.github.com/repos/huggingface/transformers/issues/28397/events | https://github.com/huggingface/transformers/issues/28397 | 2,070,801,692 | I_kwDOCUB6oc57be0c | 28,397 | Seamless M4T-v2 Inference bug when using chunk_length_s parameter | {
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Ubuntu 22
Python 3.12
Latest Transformers
### Who can help?
@Narsil
@SunMarc
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give det... | {
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https://api.github.com/repos/huggingface/transformers/issues/28396 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28396/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28396/comments | https://api.github.com/repos/huggingface/transformers/issues/28396/events | https://github.com/huggingface/transformers/issues/28396 | 2,070,736,295 | I_kwDOCUB6oc57bO2n | 28,396 | Llama 2 Transfomers Neuron X issue | {
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https://awsdocs-neuron.readthedocs-hosted.com/en/latest/libraries/transformers-neuronx/transformers-neuronx-developer-guide.html#features
My code:
```
from transformers_neuronx.llama.model import LlamaForSampling
from transfo... | {
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- `transformers` version: 4.30.0
- Platform: Linux-5.15.0-18-shopee-generic-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.1
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?... | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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Colab Notebook T4
Colab: https://colab.research.google.com/drive/10JDBNsLlYrQdnI2FWfDK3F5M8wvVUDXG?usp=sharing
### Who can help?
@ArthurZucker @younesbelkada @pacman
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28392 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28392/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28392/comments | https://api.github.com/repos/huggingface/transformers/issues/28392/events | https://github.com/huggingface/transformers/pull/28392 | 2,070,530,963 | PR_kwDOCUB6oc5jeu-x | 28,392 | update docs to add the `phi-2` example | {
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<!--
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- `transformers` version: 4.37.0.dev0
- Platform: Linux-5.4.0-166-generic-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.0
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28390 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28390/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28390/comments | https://api.github.com/repos/huggingface/transformers/issues/28390/events | https://github.com/huggingface/transformers/pull/28390 | 2,070,510,911 | PR_kwDOCUB6oc5jeql1 | 28,390 | Check the xpu available and move the tensor or model to xpu | {
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<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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Colab Notebook, T4
Colab Notebook: https://colab.research.google.com/drive/10JDBNsLlYrQdnI2FWfDK3F5M8wvVUDXG?usp=sharing
### Who can help?
@pacman100 @muellerz @younesbelkada
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An of... | {
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] | open | false | null | [] | null | 1 | 2024-01-08T11:43:05 | 2024-01-08T12:35:24 | null | NONE | null | ### Feature request
Efficient encoder like destilBERT, ALBERT or ELECTRA aren't supported as decoder of the EncoderDecoderModel and so they can't be shared as encoder and decoder.
### Motivation
Warm-starting shared models is a powerful way to build transformer models. Yet the efficient models can't be used.
### Yo... | {
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https://api.github.com/repos/huggingface/transformers/issues/28386 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28386/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28386/comments | https://api.github.com/repos/huggingface/transformers/issues/28386/events | https://github.com/huggingface/transformers/pull/28386 | 2,070,056,730 | PR_kwDOCUB6oc5jdGp0 | 28,386 | Fix wrong xpu device in DistributedType.MULTI_XPU mode | {
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When running lora fine-tuning on XPU in single-node&multi-card way, I noticed that the device is not correctly set up for distributed fine-tuning in the "__setup_devices" function.
As can be seen f... | {
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I found this issue when I try to reproduce `https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard` results, specifically gsm8k on `mncai/Llama2-7B-guanaco-dolphin-500`. My result is 13.12 while the one reported was 5.99.
Also I found paddings make the outputs different (not sure if they ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28384/comments | https://api.github.com/repos/huggingface/transformers/issues/28384/events | https://github.com/huggingface/transformers/issues/28384 | 2,069,899,827 | I_kwDOCUB6oc57YCoz | 28,384 | add_tokens does not preserve spacing | {
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- `transformers` version: 4.35.2
- Platform: Linux-4.18.0-348.el8.x86_64-x86_64-with-glibc2.28
- Python version: 3.11.6
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
### Who can help?
@ArthurZucker and @younesbelkada
### Information
- [ ] The off... | {
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https://api.github.com/repos/huggingface/transformers/issues/28387 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28387/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28387/comments | https://api.github.com/repos/huggingface/transformers/issues/28387/events | https://github.com/huggingface/transformers/issues/28387 | 2,070,201,891 | I_kwDOCUB6oc57ZMYj | 28,387 | Issue with Adding New Tokens to ESM2 Model Tokenizer | {
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I am encountering an issue while working with the ESM2 models (`facebook/esm2_t6_8M_UR50D`). Specifically, when I try to add new tokens to the tokenizer, they are automatically classified as special tokens, even though I am specifying `special_tokens=False`.
Here is the code snippet I am using:
```python... | {
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https://api.github.com/repos/huggingface/transformers/issues/28383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28383/comments | https://api.github.com/repos/huggingface/transformers/issues/28383/events | https://github.com/huggingface/transformers/issues/28383 | 2,069,570,341 | I_kwDOCUB6oc57WyMl | 28,383 | GPUA10：QWenLMHeadModel does not support Flash Attention 2.0 yet | {
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my GPU is A10
transformers>=4.36.2 | {
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https://api.github.com/repos/huggingface/transformers/issues/28382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28382/comments | https://api.github.com/repos/huggingface/transformers/issues/28382/events | https://github.com/huggingface/transformers/issues/28382 | 2,069,500,600 | I_kwDOCUB6oc57WhK4 | 28,382 | rewrite trainer's save_model method get unexpected pytorch_model.bin file | {
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- `transformers` version: 4.33.1
- Platform: Linux-3.10.0-1127.19.1.el7.x86_64-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.1+cu121 (True... | {
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https://api.github.com/repos/huggingface/transformers/issues/28381 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28381/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28381/comments | https://api.github.com/repos/huggingface/transformers/issues/28381/events | https://github.com/huggingface/transformers/issues/28381 | 2,069,429,917 | I_kwDOCUB6oc57WP6d | 28,381 | PhiForCausalLM does not support Flash Attention 2.0 | {
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import torch
from transformers import AutoModelForCausalLM, AutoModel
model = AutoModelForCausalLM.from_pretrained(
'microsoft/phi-2',
use_flash_attention_2=True,
torch_dtype=torch.bfloat16,
trust_remote_code=True,
)
```
Throws:
```
ValueError: PhiForCausalLM does not support Flash A... | {
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https://api.github.com/repos/huggingface/transformers/issues/28380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28380/comments | https://api.github.com/repos/huggingface/transformers/issues/28380/events | https://github.com/huggingface/transformers/pull/28380 | 2,069,357,560 | PR_kwDOCUB6oc5jap25 | 28,380 | Fix building alibi tensor when num_heads is not a power of 2 | {
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when the `n_heads` of MPT model is not a power of 2 number (ex: 6), the function that build the alibi tensor will return with an error, you can check that by running the extra test case that I have added. This PR fixes that issue.
## Before submittin... | {
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https://api.github.com/repos/huggingface/transformers/issues/28379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28379/comments | https://api.github.com/repos/huggingface/transformers/issues/28379/events | https://github.com/huggingface/transformers/pull/28379 | 2,069,268,419 | PR_kwDOCUB6oc5jaX4v | 28,379 | Convert SlimSAM checkpoints | {
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This PR extends the conversion script of SAM (Segment Anything) to also support [SlimSAM](https://github.com/czg1225/SlimSAM/tree/master) checkpoints.
SlimSAM is a compressed (pruned) version of SAM, claims to outperform FastSAM and MobileSAM. Looks cool! Below are the SAM-vit-base (top) v... | {
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https://api.github.com/repos/huggingface/transformers/issues/28378 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28378/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28378/comments | https://api.github.com/repos/huggingface/transformers/issues/28378/events | https://github.com/huggingface/transformers/pull/28378 | 2,069,263,197 | PR_kwDOCUB6oc5jaW3R | 28,378 | fix: sampling in flax keeps EOS | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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When calling `flax_model.generate(do_sample=True)`, we can notice that the EOS token has been replaced with PAD token.
Configuration:
```
- `transformers` version: 4.37.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.20.1
- S... | {
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https://api.github.com/repos/huggingface/transformers/issues/28376 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28376/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28376/comments | https://api.github.com/repos/huggingface/transformers/issues/28376/events | https://github.com/huggingface/transformers/issues/28376 | 2,069,187,992 | I_kwDOCUB6oc57VU2Y | 28,376 | Detr Loss: "IndexError: tensors used as indices must be long, int, byte or bool tensors" | {
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- `transformers` version: 4.35.0
- Platform: Linux-5.15.0-73-generic-x86_64-with-glibc2.35
- Python version: 3.10.9
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (False)
- Tenso... | {
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https://api.github.com/repos/huggingface/transformers/issues/28375 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28375/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28375/comments | https://api.github.com/repos/huggingface/transformers/issues/28375/events | https://github.com/huggingface/transformers/issues/28375 | 2,069,157,788 | I_kwDOCUB6oc57VNec | 28,375 | NameError: name 'torch' is not defined | {
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#### Device Info:
Device: `DESKTOP-0EE5HES`
Processor: `11th Gen Intel Core i5-1135G7 @ 2.40GHz`
Windows Edition: `Windows 11 Home Single Language`
System Type: `64-bit operating system, x64-based processor`
Version: `23H2 (Build 22631.2861)`
#### Package Info:
transformers; `4.36.2`
Pyth... | {
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- `transformers` version: 4.31.0
- Platform: Linux-5.4.143.bsk.8-amd64-x86_64-with-glibc2.28
- Python version: 3.10.13
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.4.0
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/28373 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28373/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28373/comments | https://api.github.com/repos/huggingface/transformers/issues/28373/events | https://github.com/huggingface/transformers/pull/28373 | 2,068,890,592 | PR_kwDOCUB6oc5jZM2S | 28,373 | Change progress logging to once across all nodes | {
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Change progress logging to be once across all nodes rather than once per node.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transfo... | {
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The underlying peft library supports setting multiple adapters:
```python
model.set_adapters(["adapter_a", "adapter_b"])
```
It would be nice if the pipeline supported the same, from looking at https://github.com/huggingface/transformers/pull/25077 it appears it only supports a single adapt... | {
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While attempting to train a model using `Trainer` and `DataCollatorForSeq2Seq`, I get the following error:
`ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided []`.
I have written my own model class (this is necessary for the design... | {
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- `transformers` version: 4.36.2
- Platform: Linux-6.1.69-1-lts-x86_64-with-glibc2.38
- Python version: 3.11.6
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.0
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cpu (False)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28369 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28369/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28369/comments | https://api.github.com/repos/huggingface/transformers/issues/28369/events | https://github.com/huggingface/transformers/pull/28369 | 2,068,658,566 | PR_kwDOCUB6oc5jYebU | 28,369 | [AttentionMaskConverter] fix sdpa unmask unattended | {
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Keep tensor devices consistent
@ArthurZucker @amyeroberts | {
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As of version 0.7.1, Flax defaults to returning **regular dictionaries** with the methods `.init` and `.apply`, not **frozen dictionaries** as was the case before: https://github.com/google/flax/discussions/3191
The `.init` method is called in the Transformers method `model.init_weights`, wher... | {
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As of version 0.7.1, Flax defaults to returning **regular dictionaries** with the methods `.init` and `.apply`, not frozen dictionaries as was the case before: https://github.com/google/flax/discussions/3191
This PR shows how we can update the Transformers modelling code to maintain the pr... | {
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All the latest versions
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduct... | {
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Token timestamps work great on the pretrained model, but once the model is finetuned, token timestamp are no more correct.
I tried to dig deeper and found that the token timestamps calculation is done using cross attention heads with some dynamic time warping calculation over token sequence.
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When running distributed training with deepspeed, I was encountered a race condition due to os.rename not being atomic on network filesystems. This rework, changes the logic for renaming to only run on the main processes, or a single main process depending on the save_on_each_node flag. Also ad... | {
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Fixes an issue with the processing of batchs of images for DETR and DETR related models. Previously, the annotations for the models - specifically bounding boxes and masks, wouldn't be updated to account for the new image sizes if padding occurred, specifically for batches of images.
TODO... | {
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Support tokenizer arguments in `text-generation` pipeline `__call__()`
Fixes # (issue)
#27869
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/... | {
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Just fix some typos in the code/doc
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
Sorry if you are not the right person, but I think that _documentation_ should be appropriate @stevhliu ... | {
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- `transformers` version: 4.35.0
- Platform: Linux-5.16.19-76051619-generic-x86_64-with-glibc2.35
- Python version: 3.10.11
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.3.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.3.0.dev20240104 (T... | {
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Translates the `pipeline_tutorial.md` file of the documentation to French.
Part of #21456
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggi... | {
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Adds HTDemucs, required for the MusicGen melody model. Supersedes #25660.
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Sorry, this is not the bug report, but I couldn't find the proper category to ask this question
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuA... | {
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] | open | false | null | [] | null | 2 | 2024-01-05T12:03:41 | 2024-01-10T17:55:01 | null | CONTRIBUTOR | null | ### Feature request
Hello Hugging Face Transformers Team,
I am writing to suggest a feature of an "exact search" decoding method, suggested in https://aclanthology.org/D19-1331/
Greedy search and beam search are both "greedy" in the sense that they are not guaranteed to find the global most likely generation.... | {
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Version:
transformers: 4.36.1 and transformers @ git+https://github.com/huggingface/transformers.git@5d36025ca13d05151b7a0c761e90d429c4644a30
Tokenizer: tokenizers==0.15.0
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts... | {
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<!--
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- `transformers` version: 4.33.0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cpu (False)
- Tensorflow version (G... | {
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<!--
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# What does this PR do?
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transformers 4.37.0.dev0
pytorch 2.1.2 py3.9_cuda11.8_cudnn8.7.0_0 pytorch
pytorch-cuda 11.8 h7e8668a_5 pytorch
pytorch-mutex 1.0 cuda pytorch
torchaudio 2.1.2 ... | {
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Before submitting
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- ... | {
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model = AutoModelForCausalLM.from_pretrained(
my_GPT2LMHeadModel_checkpoint,
torch_dtype=torch.bfloat16,
attn_implementation="flash_attention_2",
)
```
throws the following error:
```
Error loading Flash_Model_2: GPT2LMHeadModel does not support Flash Attention 2.0 yet. Pl... | {
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- `transformers` version: 4.37.0.dev0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.11.5
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.0
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tensorflow version ... | {
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Token healing rectifies the token boundary bias in greedy tokenization. It does this by trimming and regrowing the prompt to better align with the model's tokenizer, thus enhancing generation quality. The improvement is clearest with completion models.
Token boundary bias is a silent performan... | {
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] | closed | false | null | [] | null | 6 | 2024-01-04T17:23:16 | 2024-01-22T13:37:25 | 2024-01-22T13:37:25 | NONE | null | ### System Info
Hi! When I tried to modify some code which calls some classes in `src/transformers/modeling_outputs.py` such as the class `BaseModelOutput` and `BaseModelOutputwithPast`, I find the typehint of some parameters is different from your comments and my understanding of the code. I believe the correct type ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28344 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28344/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28344/comments | https://api.github.com/repos/huggingface/transformers/issues/28344/events | https://github.com/huggingface/transformers/issues/28344 | 2,065,985,520 | I_kwDOCUB6oc57JG_w | 28,344 | Problem in using H100 for LLAMA 70 b inference | {
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Hi, I notice that I cannot access the LLAMA 2 70 B chat hf for running my response, and here is the bug:
```python
Traceback (most recent call last):
File "/workspace/demo_llama.py", line 27, in <module>
sequences = pipeline(
File "/opt/conda/lib/python3.10/site-packages/transformers/pip... | {
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https://api.github.com/repos/huggingface/transformers/issues/28343 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28343/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28343/comments | https://api.github.com/repos/huggingface/transformers/issues/28343/events | https://github.com/huggingface/transformers/issues/28343 | 2,065,575,304 | I_kwDOCUB6oc57Hi2I | 28,343 | How to log custom value? | {
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how can i do that?
like: {'loss': 2.5234, 'learning_rate': 1.0344827586206896e-06, 'epoch': 0.0, 'version': 'v1'} | {
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https://api.github.com/repos/huggingface/transformers/issues/28342 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28342/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28342/comments | https://api.github.com/repos/huggingface/transformers/issues/28342/events | https://github.com/huggingface/transformers/issues/28342 | 2,065,481,107 | I_kwDOCUB6oc57HL2T | 28,342 | Switch Transformers Jitter Noise in Inference | {
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- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-1033-gkeop-x86_64-with-glibc2.17
- Python version: 3.8.18
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.3.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/28341 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28341/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28341/comments | https://api.github.com/repos/huggingface/transformers/issues/28341/events | https://github.com/huggingface/transformers/pull/28341 | 2,065,393,894 | PR_kwDOCUB6oc5jNavK | 28,341 | fix FA2 when using quantization for remaining models | {
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<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/28340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28340/comments | https://api.github.com/repos/huggingface/transformers/issues/28340/events | https://github.com/huggingface/transformers/pull/28340 | 2,065,364,022 | PR_kwDOCUB6oc5jNUTf | 28,340 | Fix error in M4T feature extractor | {
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Really small PR that fixes an error when calling the SeamlessM4TFeatureExtractor without attention mask. I simply added a check to verify if the attention mask exists before operating on it. I've also modified the test suite to test this in the future.
cc @amyeroberts or @ArthurZucker ! WD... | {
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The environment is a Runpod container with python 3.10, single A100 80gb, transformers 4.37.0dev (3cefac1d974db5e2825a0cb2b842883a628be7a0), using axolotl training script (https://github.com/OpenAccess-AI-Collective/axolotl).
### Who can help?
_No response_
### Information
- [ ] The official exampl... | {
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https://api.github.com/repos/huggingface/transformers/issues/28338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28338/comments | https://api.github.com/repos/huggingface/transformers/issues/28338/events | https://github.com/huggingface/transformers/pull/28338 | 2,065,061,516 | PR_kwDOCUB6oc5jMTQX | 28,338 | fix pipeline to support tuple model output | {
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This PR considers pipeline.model may output a tuple (if return_dict=False). Would you please help to review it? Thx!
Problem can be reproduced by
```python
from transformers import pipeline, AutoModel, AutoTokenizer
sentences = ["This is an example sentence", "Each sentence is conve... | {
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- `transformers` version: 4.35.2
- Platform: Linux-6.1.58+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflow versio... | {
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generated_tokens = model.generate(input_ids = ids_tensor, attention_mask = attention_padded, forced_bos_token_id=[tokenizer.get_lang_id("es"),tokenizer.get_lang_id("fr")])
```
Seems above code will output the same language output. | {
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https://api.github.com/repos/huggingface/transformers/issues/28335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28335/comments | https://api.github.com/repos/huggingface/transformers/issues/28335/events | https://github.com/huggingface/transformers/issues/28335 | 2,064,920,715 | I_kwDOCUB6oc57FDCL | 28,335 | Peft + gradient checkpointing crashes | {
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>>> transformers.__version__
'4.37.0.dev0'
>>> peft.__version__
'0.7.2.dev0'
>>> torch.__version__
'1.13.0'
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` fold... | {
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- `transformers` version: 4.36.2
- Platform: macOS-14.2.1-arm64-arm-64bit
- Python version: 3.10.13
- Huggingface_hub version: 0.20.0
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (False)
- Tensorflow version (GPU... | {
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The method `LlavaForConditionalGeneration._merge_input_ids_with_image_features` takes care of merging the input_embeds with the hidden states obtained from the vision encoder. The merge output is fed to the language model part of the model.
However, `labels` was omitted from the m... | {
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https://api.github.com/repos/huggingface/transformers/issues/28332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28332/comments | https://api.github.com/repos/huggingface/transformers/issues/28332/events | https://github.com/huggingface/transformers/issues/28332 | 2,064,684,522 | I_kwDOCUB6oc57EJXq | 28,332 | Use mmap to accelerate checkpoint loading | {
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Use torch.load(mmap=True) if possible.
### Motivation
Python 2.1 allows mmap() when loading checkpoints ([doc](https://pytorch.org/docs/stable/generated/torch.load.html))
I tested on a 6B model: with mmap(), takes 2.x seconds to load (vs 12.x seconds without using mmap)
### Your contr... | {
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https://api.github.com/repos/huggingface/transformers/issues/28331 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28331/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28331/comments | https://api.github.com/repos/huggingface/transformers/issues/28331/events | https://github.com/huggingface/transformers/pull/28331 | 2,064,682,839 | PR_kwDOCUB6oc5jLEMz | 28,331 | Use mmap option to load_state_dict | {
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https://github.com/huggingface/transformers/issues/28332
cc @SunMarc @sgugger
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- `transformers` version: 4.36.2
- Platform: Linux-4.18.0-193.el8.x86_64-x86_64-with-glibc2.28
- Python version: 3.10.13
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu118 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/28329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28329/comments | https://api.github.com/repos/huggingface/transformers/issues/28329/events | https://github.com/huggingface/transformers/issues/28329 | 2,064,382,134 | I_kwDOCUB6oc57C_i2 | 28,329 | [TrOCR] Dealing with occasional multi-line images | {
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I am feeding in text-line images which are automatically segmented. However, due to the nature of the documents, sometimes this segmentation is not perfect, and the image contains multiple lines of text. These have been transcribed... | {
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I would be curious if https://github.com/mobiusml/hqq can be supported in similar fashion to `autogptq` or `autoawq`. hqq is most similar to `bitsandbytes` `nf4/fp4` datatypes, but offers 2,3,4,8 bit quantization.
CC: @mobicham
### Motivation
HQQ performs 2/3/4 bit quantization and can do ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28327/comments | https://api.github.com/repos/huggingface/transformers/issues/28327/events | https://github.com/huggingface/transformers/issues/28327 | 2,064,215,480 | I_kwDOCUB6oc57CW24 | 28,327 | BARK: 'GenerationConfig' object has no attribute 'semantic_config' | {
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python 3.10.3
Windows 10
transformers 4.37.0.dev0
torch 2.0.1
### Who can help?
@sanchit-gandhi
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ..... | {
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https://api.github.com/repos/huggingface/transformers/issues/28326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28326/comments | https://api.github.com/repos/huggingface/transformers/issues/28326/events | https://github.com/huggingface/transformers/pull/28326 | 2,064,072,295 | PR_kwDOCUB6oc5jJAaB | 28,326 | Add the XPU device check for pipeline mode | {
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# What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
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https://api.github.com/repos/huggingface/transformers/issues/28325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28325/comments | https://api.github.com/repos/huggingface/transformers/issues/28325/events | https://github.com/huggingface/transformers/pull/28325 | 2,064,055,311 | PR_kwDOCUB6oc5jI8tT | 28,325 | Remove token_type_ids from model_input_names (like #24788) | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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- `transformers` version: 4.35.2
- Platform: Linux-6.1.58+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (False)
- Tensorflow ver... | {
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RTX 3090
### Who can help?
@younesbelkada @ArthurZucker
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details bel... | {
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https://api.github.com/repos/huggingface/transformers/issues/28321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28321/comments | https://api.github.com/repos/huggingface/transformers/issues/28321/events | https://github.com/huggingface/transformers/pull/28321 | 2,063,466,908 | PR_kwDOCUB6oc5jG4tl | 28,321 | support PeftMixedModel signature inspect | {
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Use model.base_model.model to get the base model(PeftMixedModel don't have "get_base_model" attribute) | {
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https://api.github.com/repos/huggingface/transformers/issues/28320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28320/comments | https://api.github.com/repos/huggingface/transformers/issues/28320/events | https://github.com/huggingface/transformers/issues/28320 | 2,063,466,171 | I_kwDOCUB6oc56_f67 | 28,320 | Unable to Resume Training from LoRA Checkpoints When Using FSDP | {
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transformers==4.35.2
accelerate==0.23.0
peft==0.5.0
`accelerate.yaml`
```yaml
compute_environment: LOCAL_MACHINE
distributed_type: FSDP
downcast_bf16: 'no'
fsdp_config:
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
fsdp_backward_prefetch_policy: BACKWARD_PRE
fsdp_forward_prefetch... | {
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https://api.github.com/repos/huggingface/transformers/issues/28322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28322/comments | https://api.github.com/repos/huggingface/transformers/issues/28322/events | https://github.com/huggingface/transformers/issues/28322 | 2,063,497,821 | I_kwDOCUB6oc56_npd | 28,322 | Unclear Tokenizer Algorithm Documentation | {
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In the docs, for example for [NLLB ](https://huggingface.co/docs/transformers/model_doc/nllb), the "slow" & "fast" tokenizers are documented to be based on SentencePiece & BPE respectively.
I do think that is a little confusing as:
- Saying that the "slow" tokenizer is based on SentencePiece, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28319/comments | https://api.github.com/repos/huggingface/transformers/issues/28319/events | https://github.com/huggingface/transformers/issues/28319 | 2,063,383,696 | I_kwDOCUB6oc56_LyQ | 28,319 | Allow gradient for generate() | {
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] | open | false | null | [] | null | 2 | 2024-01-03T07:21:37 | 2024-01-03T10:04:12 | null | NONE | null | ### Feature request
The generate function is decorated with @torch.no_grad() and thus can't be used for model training. It would be better to make calculating gradients optional, rather than impossible, so that the function can be used for tuning. The simplest solution is to remove the decorator altogether, as users... | {
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https://api.github.com/repos/huggingface/transformers/issues/28318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28318/comments | https://api.github.com/repos/huggingface/transformers/issues/28318/events | https://github.com/huggingface/transformers/pull/28318 | 2,063,361,670 | PR_kwDOCUB6oc5jGhBh | 28,318 | Port MPT to Flax | {
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This PR adds flax implementation of MPT to transformers
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIB... | {
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(torch) (base) anxiang.zhang@n214-176-142:~/DeepSeek-Coder$ transformers-cli env
WARNING:tensorflow:From /data02/home/anxiang.zhang/miniconda3/envs/torch/lib/python3.10/site-packages/transformers/commands/env.py:100: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28316/comments | https://api.github.com/repos/huggingface/transformers/issues/28316/events | https://github.com/huggingface/transformers/issues/28316 | 2,063,015,679 | I_kwDOCUB6oc569x7_ | 28,316 | Pythia regression in transformers==4.36.2 vs transformers==4.30.1 | {
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Happy New Year all!
- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-1049-aws-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.3.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.... | {
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https://api.github.com/repos/huggingface/transformers/issues/28315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28315/comments | https://api.github.com/repos/huggingface/transformers/issues/28315/events | https://github.com/huggingface/transformers/pull/28315 | 2,062,918,444 | PR_kwDOCUB6oc5jFCq6 | 28,315 | Accelerate support added to Object Detection & Segmentation Models | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/28314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28314/comments | https://api.github.com/repos/huggingface/transformers/issues/28314/events | https://github.com/huggingface/transformers/issues/28314 | 2,062,892,647 | I_kwDOCUB6oc569T5n | 28,314 | Whisper OpenBLAS Warnings when running Whisper Inference on aarch64 cpu | {
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- `transformers` version: 4.36.2
- Platform: Linux-5.10.76-linuxkit-aarch64-with-glibc2.31
- Python version: 3.9.18
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2 (False)
- Tenso... | {
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https://api.github.com/repos/huggingface/transformers/issues/28313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28313/comments | https://api.github.com/repos/huggingface/transformers/issues/28313/events | https://github.com/huggingface/transformers/pull/28313 | 2,062,888,887 | PR_kwDOCUB6oc5jE8bf | 28,313 | README: install transformers from conda-forge channel | {
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Switch to the conda-forge channel for transformer installation, as the huggingface channel does not offer the latest version.
Fixes #28248
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review... | {
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Adding support for multi-GPU training in 6 object detection models and segmentation models.
<!--
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<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/tj-actions/changed-files/releases">tj-actions/changed-files's releases</a>.</em></p>
<blockquote>
<h2>v41</h2>
<h1>Changes in v41.0.1<... | {
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Why do I get an error when I use TensorRT-LLM’s build.py to ... | {
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] | open | false | null | [] | null | 2 | 2024-01-02T13:47:19 | 2024-01-10T18:34:47 | null | CONTRIBUTOR | null | ### Feature request
Currently there are 6 object detection models which don't support multi-GPU training out-of-the-box. The distributed code was explicitly left out of the modeling code as they wouldn't be compatible with the Trainer API. Refer to [these lines of code](https://github.com/huggingface/transformers/bl... | {
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"followers_url": "https://api... | null | 1 | 2024-01-02T12:53:18 | 2024-01-05T14:43:06 | null | NONE | null | ### Feature request
I suggest renaming the `tokenizer` parameter in **Trainer** to `tokenizer_or_processor`.
### Motivation
In the future, the training of many **multimodal models** will certainly require the use of **Trainer**. However, in multimodal models, the processors used to process data are not just `... | {
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https://api.github.com/repos/huggingface/transformers/issues/28307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28307/comments | https://api.github.com/repos/huggingface/transformers/issues/28307/events | https://github.com/huggingface/transformers/issues/28307 | 2,062,271,457 | I_kwDOCUB6oc5668Ph | 28,307 | Can not find best model after training. | {
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- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/28306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28306/comments | https://api.github.com/repos/huggingface/transformers/issues/28306/events | https://github.com/huggingface/transformers/issues/28306 | 2,062,055,346 | I_kwDOCUB6oc566Hey | 28,306 | LLaMA-MoE | {
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] | open | false | null | [] | null | 0 | 2024-01-02T07:49:56 | 2024-01-02T07:49:56 | null | NONE | null | ### Model description
LLaMA-MoE is a series of token-choice based Mixture-of-Experts models on LLaMA2. It first partition LLaMA2's FFNs into multiple experts, then apply continual pre-training to recover its language abilities.
We believe LLaMA-MoE is a good start for MoE research under limited computing resources.... | {
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https://api.github.com/repos/huggingface/transformers/issues/28305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28305/comments | https://api.github.com/repos/huggingface/transformers/issues/28305/events | https://github.com/huggingface/transformers/issues/28305 | 2,061,979,932 | I_kwDOCUB6oc5651Ec | 28,305 | What version of transfomers _make_causal_mask was moved from modeling_clip.py | {
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Name: transformers
Version: 4.28.0
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/g... | {
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