Instructions to use BienKieu/codeT5Plus_Contrastive_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codeT5Plus_Contrastive_new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/codeT5Plus_Contrastive_new") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/codeT5Plus_Contrastive_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/codeT5Plus_Contrastive_new: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/BienKieu/codeT5Plus_Contrastive_new/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/codeT5Plus_Contrastive_new/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/codeT5Plus_Contrastive_new/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- cb9c632d0c44ea38371b26ed1ab91dcfcd509fc0e131d87281cef798304d3b3b
- Size of remote file:
- 5.43 kB
- SHA256:
- daecd2a6af6599f073629f4587a84e372613df63def53d6554ba612fc7ad160a
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