Instructions to use BienKieu/codeT5base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5base") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/codeT5base: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/BienKieu/codeT5base/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/codeT5base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/codeT5base/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- e0f8619ea431bb9b9c746f34df5384dd1a0e152057e2211253289d73421ac9df
- Size of remote file:
- 5.5 kB
- SHA256:
- 6b4d3a07df38976166a1f7a97b35bb4a9f94440848744cb1135f6e921546327c
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