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:
# pip install -U transformers accelerate # 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
Download training_args.bin from k4black/Salesforce-codet5-small-java-small-selected: direct link, hf CLI and curl.
- Browser
- Download file 3.89 kB
-
https://huggingface.co/k4black/Salesforce-codet5-small-java-small-selected/resolve/main/training_args.bin
- Command line
-
hf download hf://k4black/Salesforce-codet5-small-java-small-selected/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/k4black/Salesforce-codet5-small-java-small-selected/resolve/main/training_args.bin
3.89 kB
- Xet hash:
- fa4197bd2dff651571edb0ddd52dccd3ed243d46007c7f198ea2a077cc6ddfd3
- Size of remote file:
- 3.89 kB
- SHA256:
- 736b084cebbebd8f73635dbb1a79e5b9f6667266a271b7721904dcfc9b9e4fd4
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