Instructions to use h4iku/codet5-small-t5apr-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h4iku/codet5-small-t5apr-java with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("h4iku/codet5-small-t5apr-java") model = AutoModelForSeq2SeqLM.from_pretrained("h4iku/codet5-small-t5apr-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef0578630697e7f072b54eb5ec6df008f60f3b538ef7770a09f277ec57614074
- Size of remote file:
- 242 MB
- SHA256:
- 01a9e1eb4e7651883ec409595e59ddfb25d9b5d0d5bbcad7ae160a42cea2174a
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