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:
- bb62ccb7b74f30cd8f72f7b69c4bdffa8a7579a34434a90b6e1635f909094733
- Size of remote file:
- 499 MB
- SHA256:
- a65f0c688c87e86e34c2fbad4387ab34281ecd3f4df3832c0794253b4fc9975f
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