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")# 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 flax_model.msgpack from microsoft/codebert-base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/microsoft/codebert-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://microsoft/codebert-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/microsoft/codebert-base/resolve/main/flax_model.msgpack
499 MB
- Xet hash:
- 3a0f1189bb3420529f0ee4b5f2eee5323975bc91c859f1d961a27f51e82d60d4
- Size of remote file:
- 499 MB
- SHA256:
- 7b3070d54e9a6582a500785a53f40a838269d13cdf6a27711037580fed717bcd
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