Instructions to use BienKieu/codeT5base_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5base_new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5base_new") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5base_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/codeT5base_new: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/BienKieu/codeT5base_new/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/codeT5base_new/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/codeT5base_new/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 15d720892550bb12ebd69da2d23673f672c162786671e52263156497f0d2885d
- Size of remote file:
- 5.5 kB
- SHA256:
- 71d84c2df1d014bc9bb57eabc40c54f70dcc5049f61ee3ec539fb36b34e601e5
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