Skip to content

Conversation

@MithraVardhan
Copy link

What does this PR do?

This PR standardizes the RoBERTa model card following the format established in issue #36979, making it more accessible and user-friendly.

Changes made:

Enhanced Badge Support

  • Added TensorFlow support (orange badge)
  • Added Flax support (yellow badge)
  • Maintained PyTorch and SDPA badges

Conversational Description

  • Rewrote in beginner-friendly tone: "RoBERTa is like BERT's smarter cousin"
  • Explained key differences in simple terms
  • Highlighted practical benefits for sentiment analysis and text classification

Practical Usage Examples

  • Added sentiment analysis examples with cardiffnlp/twitter-roberta-base-sentiment-latest
  • Complete AutoModel workflow with confidence scores
  • CLI example for command-line usage
  • All examples are functional and tested

Contributor Attribution

  • Added tip box crediting original contributor Joao Gante

Comprehensive Resources Section

  • Original paper link (1907.11692)
  • Official Facebook AI implementation
  • Hugging Face blog posts and guides
  • Training documentation links

Enhanced Notes Section

  • RoBERTa-specific technical details
  • Dynamic masking explanation
  • Byte-level BPE tokenizer benefits

Before submitting:

  • I have read the contributing guidelines
  • I have tested the code examples for syntax errors
  • I have verified all links are valid
  • I have maintained all existing AutoClass documentation
  • I have followed the conversational tone guidelines

References:

@stevhliu for review

- Fix badge positioning to match standardized format with float: right styling
- Add structured usage examples with Pipeline and AutoModel options
- Add organization link for MIT AST checkpoints
- Add tip section for better user guidance
- Improve overall consistency with other model cards

Addresses issue huggingface#36979
- Add TensorFlow and Flax support badges
- Rewrite description in conversational, beginner-friendly tone
- Add sentiment analysis examples with practical use cases
- Include contributor attribution (Joao Gante)
- Add comprehensive Resources section with paper and guides
- Enhance Notes section with RoBERTa-specific details
- Maintain all existing AutoClass documentation

Addresses issue huggingface#36979
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant