Instructions to use narySt/codeT5p_CommitMessageGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use narySt/codeT5p_CommitMessageGen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("narySt/codeT5p_CommitMessageGen") model = AutoModelForSeq2SeqLM.from_pretrained("narySt/codeT5p_CommitMessageGen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1653604100215ae6efc0adeec7ea01ed9556b8179015b5311233b9bdad55ff07
- Size of remote file:
- 892 MB
- SHA256:
- c5f9a9f86ad0c1f00204ee25110d93815d18c2e092332bafc8c7aa42ebc8f430
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