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:
- e02bc55828d8fb9f5554b523104786c9a727d047aeb2e830c4f584ccb8c5982b
- Size of remote file:
- 6.15 kB
- SHA256:
- b1e883e31e35f0b038ae8de9abaeb5bcf9252544b548b3a4e75f7ad70476a0a0
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