ArtifactAI
/

phi-physics

@@ -1,202 +1,63 @@
 ---
-library_name: peft
-base_model: microsoft/phi-1_5
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
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-## Uses
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 ## Training procedure
@@ -237,3 +98,13 @@ The following `bitsandbytes` quantization config was used during training:
 - PEFT 0.6.2

 ---
+license: apache-2.0
+language:
+- en
+pipeline_tag: summarization
+widget:
+- text: What is the peak phase of T-eV?
+  example_title: Question Answering
+tags:
+- arxiv
 ---
+#  Table of Contents
+0. [TL;DR](#TL;DR)
+1. [Model Details](#model-details)
+2. [Usage](#usage)
+3. [Uses](#uses)
+4. [Citation](#citation)
+# TL;DR
+This is a Phi-1_5 model trained on [camel-ai/biology](https://huggingface.co/datasets/camel-ai/physics). This model is for research purposes only and ***should not be used in production settings***.
+## Model Description
+- **Model type:** Language model
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
+- **Related Models:** [Phi-1_5](https://huggingface.co/microsoft/phi-1_5)
+# Usage
+Find below some example scripts on how to use the model in `transformers`:
+## Using the Pytorch model
+```python
+from huggingface_hub import notebook_login
+from datasets import load_dataset, Dataset
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
+model = "ArtifactAI/phi-physics"
+model = AutoModelForCausalLM.from_pretrained(base_model, trust_remote_code= True)
+tokenizer = AutoTokenizer.from_pretrained(base_model, trust_remote_code=True)
+def generate(prompt):
+  inputs = tokenizer(f'''Below is an instruction that describes a task. Write a response that appropriately completes the request If you are adding additional white spaces, stop writing".\n\n### Instruction:\n{prompt}.\n\n### Response:\n ''', return_tensors="pt", return_attention_mask=False)
+  streamer = TextStreamer(tokenizer, skip_prompt= True)
+  _ = model.generate(**inputs, streamer=streamer, max_new_tokens=500)
+generate("What are the common techniques used in identifying a new species, and how can scientists accurately categorize it within the existing taxonomy system?")
+```
+## Training Data
+The model was trained on [camel-ai/phi-physics](https://huggingface.co/datasets/camel-ai/physics), a dataset of question/answer pairs.
 ## Training procedure
 - PEFT 0.6.2
+# Citation
+```
+@misc{phi-math,
+    title={phi-biology},
+    author={Matthew Kenney},
+    year={2023}
+}
+```