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:
- 237e6f5fe95d4386fcee1f9e27b3f5df165da5cacb76adc71e5913d4afbf5882
- Size of remote file:
- 242 MB
- SHA256:
- 371400a733f9581c267cbc58d4d428bf860f14dde0bbe9ed1b8654a163b0c033
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