Improve model card: Add pipeline tag, library name, abstract, and usage example
#1
by
nielsr
HF Staff
- opened
This PR significantly improves the model card for the CodeARC fine-tuned LLaMA-3.1-8B-Instruct model by adding essential metadata and enriching the content:
- Metadata
pipeline_tag: text-generation: This tag enables users to easily discover the model via the Hugging Face Hub's pipeline filters (e.g., https://huggingface.co/models?pipeline_tag=text-generation). - Metadata
library_name: transformers: This ensures the model is recognized as compatible with the Hugging Face Transformers library, activating the "Use in Transformers" widget and providing relevant code snippets directly on the model page. - Comprehensive Description: The model card now includes a concise abstract of the paper, providing users with a clear understanding of the model's purpose and the CodeARC framework.
- Updated Paper Link: The paper link has been updated to point to the Hugging Face Papers page, integrating the model card more tightly with the Hub's academic resources.
- Sample Usage: A practical Python code example is included, demonstrating how to load and use the model for text generation with the
transformerslibrary, facilitating quick experimentation and integration for users. - Explicit License: An explicit license section is added for clarity.
These changes enhance the model's discoverability, usability, and overall presentation on the Hugging Face Hub.