Instructions to use k4black/Salesforce-codet5-small-java-small-selected-wo-tokens 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-wo-tokens 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-wo-tokens") model = AutoModelForSeq2SeqLM.from_pretrained("k4black/Salesforce-codet5-small-java-small-selected-wo-tokens", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from k4black/Salesforce-codet5-small-java-small-selected-wo-tokens: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/k4black/Salesforce-codet5-small-java-small-selected-wo-tokens/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://k4black/Salesforce-codet5-small-java-small-selected-wo-tokens/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/k4black/Salesforce-codet5-small-java-small-selected-wo-tokens/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 43162558a3b4b1c6ba33fe78d0d8c948ef95f33786d14b8d106383816552e614
- Size of remote file:
- 242 MB
- SHA256:
- 8bb46278b411350609e38292b3f24e096e4fe23cdfd61084406ae9b18adaf188
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