Instructions to use BienKieu/codeT5Plus_si_sotitle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5Plus_si_sotitle with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5Plus_si_sotitle") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5Plus_si_sotitle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/codeT5Plus_si_sotitle: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/BienKieu/codeT5Plus_si_sotitle/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/codeT5Plus_si_sotitle/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/codeT5Plus_si_sotitle/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 03de670625e64922d01154aece65fa5ef4f6a1d499e20af79d60fb2d4036beca
- Size of remote file:
- 5.91 kB
- SHA256:
- 9e2eb8f5aac7cfeced27831020923d6ab5dc16cca7af1a1c9ed938d3a2936980
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