Instructions to use microsoft/codebert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/codebert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="microsoft/codebert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("microsoft/codebert-base") model = AutoModel.from_pretrained("microsoft/codebert-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from microsoft/codebert-base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/microsoft/codebert-base/resolve/refs%2Fpr%2F3/model.safetensors
- Command line
-
hf download hf://microsoft/codebert-base@refs/pr/3/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/microsoft/codebert-base/resolve/refs%2Fpr%2F3/model.safetensors
499 MB
- Xet hash:
- 7fabf6eb4d919396e9d7ae07743cc0ec84286886fa012ec331df615ea1b101b9
- Size of remote file:
- 499 MB
- SHA256:
- b3a59026bf4955d5dbfae2ec74734b2d38c01049a84df1e8a12d78d0fd11bd75
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