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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcd04fcc4eb72db1e0f77de774aceeabcc8b80f46034638b22bc3ad9766ae4cb
- Size of remote file:
- 242 MB
- SHA256:
- a73bf1a823d022a88c504cac68bb8c4b31e7acd2cd29b9a0342e453c9b94efa1
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