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:
- fb9a6ba30057ef0ff4f639690e1226e74caf2b86b10e10a96432ae9d230b930a
- Size of remote file:
- 2.99 kB
- SHA256:
- 3927f6e0d894bd920baa88d996c050191373bf110417075e61bdb748824ceaf7
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