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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbdf657cb555e0c67c2cbc433d6f560d31504ba66da707721706771376630c0d
- Size of remote file:
- 499 MB
- SHA256:
- a91362f5a5a4dd0b1f96c7c4d2ebc512c00b834d501a2612d1f12f6ab4ca5535
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