Instructions to use nielsr/codet5-small-code-summarization-ruby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/codet5-small-code-summarization-ruby with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nielsr/codet5-small-code-summarization-ruby") model = AutoModelForSeq2SeqLM.from_pretrained("nielsr/codet5-small-code-summarization-ruby", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (dee3afc62f0ea75677bd62eab6c0fab86843e16f) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>14e57be
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Add link to notebook
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Fix typo
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Add tags
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Update model card
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Add model card
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First commit
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initial commit
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