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:
- c11385f600a258671ed1bd3fcdd5648c6d8408a3af7ca25609fc3c6776d9ce67
- Size of remote file:
- 499 MB
- SHA256:
- 85ff66b8c7b152fba47fa61c53554f29f4f15f5be8f1596ea1e8cc5a59947159
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