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 config.json from BienKieu/codebert_new: direct link, hf CLI and curl.
- Browser
- Download file 177 Bytes
-
https://huggingface.co/BienKieu/codebert_new/resolve/main/config.json
- Command line
-
hf download hf://BienKieu/codebert_new/config.json
-
curl -L -o config.json https://huggingface.co/BienKieu/codebert_new/resolve/main/config.json
177 Bytes
| { | |
| "model_name_or_path": "microsoft/codebert-base", | |
| "max_length": 64, | |
| "hidden_size": 768, | |
| "vocab_size": 50265, | |
| "sos_id": 0, | |
| "eos_id": 2, | |
| "pad_id": 1 | |
| } |