Add metadata and improve model card for industrial code intelligence

#1
by nielsr HF Staff - opened

Hi! I'm Niels from the Hugging Face community science team.

I've opened this pull request to improve the documentation of InCoder-32B. Specifically, I have:

  • Added YAML metadata at the top including pipeline_tag, library_name, and license. This enables the "Use in Transformers" button and improves discoverability.
  • Included domain-specific tags (Verilog, CUDA, Triton, etc.) to help users find this model when searching for industrial AI tools.
  • Integrated a more comprehensive Model Summary and Training Pipeline description from the paper and GitHub repo to help researchers understand the "Code-Flow" process.
  • Ensured usage snippets are present and compatible with the transformers library.

These changes help the model reach more researchers and engineers working on hardware semantics, GPU optimization, and embedded systems.

csjiaya changed pull request status to merged

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