Create repo card with prompt-templates library

README.md

@@ -1,56 +1,9 @@
 ---
-license: mit
 library_name: prompt-templates
 tags:
 - prompts
+- prompt-templates
 ---
-
-## Sharing prompts linked to datasets
-This repo illustrates how you can use the `prompt_templates` library to load prompts from YAML files in dataset repositories.
-
-LLMs are increasingly used to help create datasets, for example for quality filtering or synthetic text generation.
-The prompts used for creating a dataset are currently unsystematically shared on GitHub ([example](https://github.com/huggingface/cosmopedia/tree/main/prompts)), 
-referenced in dataset cards ([example](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu#annotation)), or stored in .txt files ([example](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier/blob/main/utils/prompt.txt)), 
-hidden in paper appendices or not shared at all. 
-This makes reproducibility unnecessarily difficult.
-
-To facilitate reproduction, these dataset prompts can be shared in YAML files in HF dataset repositories together with metadata on generation parameters, model_ids etc. 
-
-
-### Example: FineWeb-Edu
-
-The FineWeb-Edu dataset was created by prompting `Meta-Llama-3-70B-Instruct` to score the educational value of web texts. The authors <a href="https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu#annotation">provide the prompt</a> in a .txt file.
-
-When provided in a YAML file in the dataset repo, the prompt can easily be loaded and supplemented with metadata like the model_id or generation parameters for easy reproducibility. 
-
-```python
-#!pip install hf_hub_prompts
-from hf_hub_prompts import download_prompt
-import torch
-from transformers import pipeline
-
-prompt_template = download_prompt(repo_id="MoritzLaurer/dataset_prompts", filename="fineweb-edu-prompt.yaml", repo_type="dataset")
-
-# populate the prompt
-text_to_score = "The quick brown fox jumps over the lazy dog"
-messages = prompt_template.populate_template(text_to_score=text_to_score)
-
-# test prompt with local llama
-model_id = "meta-llama/Llama-3.2-1B-Instruct"  # prompt was original created for meta-llama/Meta-Llama-3-70B-Instruct
-
-pipe = pipeline(
-    "text-generation",
-    model=model_id,
-    torch_dtype=torch.bfloat16,
-    device_map="auto",
-)
-
-outputs = pipe(
-    messages,
-    max_new_tokens=512,
-)
-
-print(outputs[0]["generated_text"][-1])
-```
-
-
+This repository was created with the `prompt-templates` library and contains
+prompt templates in the `Files` tab.
+For easily reusing these templates, see the [prompt-templates documentation](https://github.com/MoritzLaurer/prompt-templates).