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/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://BienKieu/codebert_new@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BienKieu/codebert_new/resolve/refs%2Fpr%2F1/pytorch_model.bin
719 MB
- Xet hash:
- f696306b462e6bc3b019a5e3c6238b7ce6c184f9d9be30e49db1d9de9d1b28aa
- Size of remote file:
- 719 MB
- SHA256:
- 90a6609b55f57795fb98703f93166bec9aa597de9b2ae441c43200105b696a5d
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