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:
- 0468983837b1334dc407b434e9414fd656914c6821f11b25742f091cc696efb4
- Size of remote file:
- 242 MB
- SHA256:
- 18d7a9156b6a4c58e1d79987851791601a67d45990dfeae64bd146126cda431a
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