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:
- 794aa6ee4dddaf5cf7c086d616f63c7789d0d7b28187f48fa8449da21f06577b
- Size of remote file:
- 6.15 kB
- SHA256:
- 0bf22321e39229442e19d2772d49655d96bd3b3639d08045ebed2141a9053c2b
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