Instructions to use DunnBC22/codet5-small-Generate_Docstrings_for_Python 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 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DunnBC22/codet5-small-Generate_Docstrings_for_Python") model = AutoModelForSeq2SeqLM.from_pretrained("DunnBC22/codet5-small-Generate_Docstrings_for_Python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faf944a4729fba5c0df648ba0cc6a6647cd75d261f52a90dcea33832aeaf7e09
- Size of remote file:
- 3.71 kB
- SHA256:
- f535a1c14ddf1f4d8fdc62f1105c616c6bde121b325dcb343becd024a48343b5
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