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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d4df1b021ac327f75a30e261b7d047e71d09a27e205a2d2bfbebde2ad9ff3790
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size 241984552
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