Instructions to use microsoft/graphcodebert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/graphcodebert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/graphcodebert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/graphcodebert-base") model = AutoModelForMaskedLM.from_pretrained("microsoft/graphcodebert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 546e4a545df908ffb95e9fe8afc16f7319cd14921164cc27d2ec21fb5b84ded1
- Size of remote file:
- 499 MB
- SHA256:
- bd1f80fa32ae8e0e952c8f4a3e41cd6285924bd1b7d7c8b8db7498fd15e758c7
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