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:
- 252852f8779c185976b922d54ad9c4e4b1d5646615e04f9c70ddafee31ac4c49
- Size of remote file:
- 3.77 kB
- SHA256:
- 88fcba2a176ea32e7eafbb3df32e259edb9fd24678d3a86f60f3cbc7b5a02d86
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