Instructions to use k4black/Salesforce-codet5-small-java-small-selected with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k4black/Salesforce-codet5-small-java-small-selected with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("k4black/Salesforce-codet5-small-java-small-selected") model = AutoModelForSeq2SeqLM.from_pretrained("k4black/Salesforce-codet5-small-java-small-selected", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6315843f7fadcad6f2fa2cee480865e5c57b9cb9c6b4462981f9f7165ba59524
- Size of remote file:
- 484 MB
- SHA256:
- 6acc72a3d42e78189cd84867e582ed241745fa2848ae04600a2a91079bf82056
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