Instructions to use DunnBC22/codet5-small-Generate_Docstrings_for_Python-Condensed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/codet5-small-Generate_Docstrings_for_Python-Condensed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DunnBC22/codet5-small-Generate_Docstrings_for_Python-Condensed") model = AutoModelForSeq2SeqLM.from_pretrained("DunnBC22/codet5-small-Generate_Docstrings_for_Python-Condensed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecd1d2b6b7907981a47b16048769ce3a6123e3eb3760c42ccc17f58a42de8085
- Size of remote file:
- 6.15 kB
- SHA256:
- f97b7e5c83820e8f84f5d4260ce99c4111665f5020318995e75012f61bb35610
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