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:
- 9e8cbbeed4c5c50eff82ba1f58d7320bb2a59fa3b14ca5548cdfc0fd2d657580
- Size of remote file:
- 242 MB
- SHA256:
- ca1af9146812e569caaa285a190d6a4face26c5040ea39341bcc6e8601b06a3c
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