Instructions to use BienKieu/codeT5base_SI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5base_SI with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5base_SI") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5base_SI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/codeT5base_SI: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/BienKieu/codeT5base_SI/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/codeT5base_SI/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/codeT5base_SI/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 13d36d5d8b35017df882c5c70d004547b6a437ce6063715386d0b625ef46db4f
- Size of remote file:
- 5.5 kB
- SHA256:
- 0e911345b673c32125a20f401146cb98a8402542f76821b9ce8756d3c936977d
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