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:
- 3211bad8d23dd3cdd024c35b6c7dadfc6eefa7bc5817d619f737246ddc63ae56
- Size of remote file:
- 242 MB
- SHA256:
- 37639a8727a3489040759a44a87ed54cf4dbe4461517e98baf50d9104d6204ef
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