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 pytorch_model.bin from BienKieu/codebert_new: direct link, hf CLI and curl.
- Browser
- Download file 719 MB
-
https://huggingface.co/BienKieu/codebert_new/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BienKieu/codebert_new/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BienKieu/codebert_new/resolve/main/pytorch_model.bin
719 MB
- Xet hash:
- 215f1a9838eeae75701e864b6beb53bf1ec621e46e048ac588b0f518edafa2c1
- Size of remote file:
- 719 MB
- SHA256:
- d3b264a27e6bebe738193145c9d75a91c013c4a28303b476d420e151a7adb758
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