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 tf_model.h5 from microsoft/codebert-base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/microsoft/codebert-base/resolve/main/tf_model.h5
- Command line
-
hf download hf://microsoft/codebert-base/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/microsoft/codebert-base/resolve/main/tf_model.h5
499 MB
- Xet hash:
- 308c5ebab986f66678fb1acc57570690f934bf9522ddf0e7a6d8a3a43aea9bc1
- Size of remote file:
- 499 MB
- SHA256:
- 59cb3355c7c32f42e3d97b0a0dc5b73c944305b9ece419170ec62f78c525d8e0
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