Instructions to use ayeshgk/codet5-small-java-buggy-to-fixed-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayeshgk/codet5-small-java-buggy-to-fixed-code with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ayeshgk/codet5-small-java-buggy-to-fixed-code") model = AutoModelForSeq2SeqLM.from_pretrained("ayeshgk/codet5-small-java-buggy-to-fixed-code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dedb8b959bf85d172777f24d78141cf12a5676b031abfd2ed6bd7203dd48f93
- Size of remote file:
- 242 MB
- SHA256:
- 96d691a50a9dfab6a7e458e57aa651f5872fa03c9e58507ab00f19bd4d937434
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