Instructions to use BienKieu/codebert_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/codebert_new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BienKieu/codebert_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/codebert_new: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/BienKieu/codebert_new/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/codebert_new/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/codebert_new/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 03355997997b873b3cb16abbb86162123e9d6e8eec77266be8e17dba63e09c22
- Size of remote file:
- 5.91 kB
- SHA256:
- a6ce0a287afe9cf414a2f95be3e7803906443ee2fa7b967836ef3d4d1050fa29
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