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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cce60c4e9e132b51ddba86f9be75e45c668360ed9bcf474f1dbd81e888caecb3
- Size of remote file:
- 242 MB
- SHA256:
- 65d25af7e86faf68f6b5e57e3aca0063791845d369decd2dd5cc25480769fe84
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