Instructions to use MickyMike/codet5-base-repair-patch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MickyMike/codet5-base-repair-patch with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MickyMike/codet5-base-repair-patch") model = AutoModelForSeq2SeqLM.from_pretrained("MickyMike/codet5-base-repair-patch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4641268cadcc46f884c7cd94253c2512f0ddd65668333664c4df48e345a37e5
- Size of remote file:
- 892 MB
- SHA256:
- 5d062495b8c59d0c90e46094326ad2b74644e93e37ebb0b9d03dc780d9a709d5
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