Instructions to use sharoz/codet5-small-custom-functions-dataset-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharoz/codet5-small-custom-functions-dataset-python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sharoz/codet5-small-custom-functions-dataset-python") model = AutoModelForSeq2SeqLM.from_pretrained("sharoz/codet5-small-custom-functions-dataset-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8587efc12240b1be14833a52591e068319843113626d59e3b9c7f65feab1066b
- Size of remote file:
- 242 MB
- SHA256:
- d4df1b021ac327f75a30e261b7d047e71d09a27e205a2d2bfbebde2ad9ff3790
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