Instructions to use ayeshgk/codet5-small-java-code-to-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayeshgk/codet5-small-java-code-to-text with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ayeshgk/codet5-small-java-code-to-text") model = AutoModelForSeq2SeqLM.from_pretrained("ayeshgk/codet5-small-java-code-to-text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f55676d2b960ea48effb952ac64deeaf31f385b31731b38581c0a8568fb58998
- Size of remote file:
- 4.86 kB
- SHA256:
- 3da2097b0075b1f5b99f1a7138e821dc0fff433a228486a7efef7dcf1ed4a677
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