Instructions to use DunnBC22/codet5-base-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-base-Generate_Docstrings_for_Python-Condensed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DunnBC22/codet5-base-Generate_Docstrings_for_Python-Condensed") model = AutoModelForSeq2SeqLM.from_pretrained("DunnBC22/codet5-base-Generate_Docstrings_for_Python-Condensed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef2af4260de27b57a77f7cf21c737385026b6d14eec61dd45223003ecab05013
- Size of remote file:
- 892 MB
- SHA256:
- 1468ad4e42e7077e2d1a9c728ebbaca336c61b648196b3da1df4d64e675e75c9
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