Improve model card: Add pipeline tag, update license, enhance details and usage
#1
by nielsr HF Staff - opened
This PR significantly enhances the model card for mdeberta-v3-base-subjectivity-sentiment-arabic by:
- Adding the
pipeline_tag: text-classificationmetadata for better discoverability. - Updating the
licensemetadata frommittocc-by-4.0to accurately reflect the license stated in the project's GitHub repository. - Adding descriptive
tagslikesubjectivity-detection,sentiment-analysis,multilingual, anddeberta-v3. - Updating the paper link in the content to point to the Hugging Face Papers page.
- Adding a direct link to the GitHub repository for the code.
- Populating the "Model description", "Intended uses & limitations", and "Training and evaluation data" sections with detailed information extracted from the paper abstract and the GitHub README.
- Including a practical "How to use" section with both
transformers.pipelinecode and command-line examples. - Adding a BibTeX citation for the paper.
These updates aim to provide a more complete, accurate, and user-friendly resource for anyone looking to understand and utilize this model.
MatteoFasulo changed pull request status to merged