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:
- 4e250328b7ab823e407bd845cccb8832fb1a320404210a662e58de2a159ba538
- Size of remote file:
- 3.63 kB
- SHA256:
- 9268ae0dcae4cdf2f077616934d399228daac6b4e73f52963895f51dd99a4b4f
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