Instructions to use alexjercan/codet5-base-buggy-code-repair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexjercan/codet5-base-buggy-code-repair with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alexjercan/codet5-base-buggy-code-repair") model = AutoModelForSeq2SeqLM.from_pretrained("alexjercan/codet5-base-buggy-code-repair") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38d64b6a22893201520290e2f6e290739671b1aaca1ba049c6a9f6e938ed9ff7
- Size of remote file:
- 892 MB
- SHA256:
- 31f0f3c2a8a0b43b0d5790be250c3be1c4bda186038dc3e4511cbcb34c8b0c15
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