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:
- 4a211ce92982d4c159f1c23fad2bb0ca0db82b1a3278710a23e2f4be03a9d4b2
- Size of remote file:
- 4.86 kB
- SHA256:
- e0d4bba254e8ca5f262843eb78fe87fc1de147e409418418c65f2685ed6c1870
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