Instructions to use arefm/refine_suggestions_codet5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arefm/refine_suggestions_codet5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arefm/refine_suggestions_codet5-base") model = AutoModelForSeq2SeqLM.from_pretrained("arefm/refine_suggestions_codet5-base") - 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 sha256:4814c86b1a5d860af64337197525cc5a1c60bdc3ecc26f1c4f057a9c67be3f80
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size 891558696
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