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:
- 32322fdff769e061faebf5747b0a89e4c65bada57295a6ba9bddf0b189a37d14
- Size of remote file:
- 657 MB
- SHA256:
- 616f8017dbc5a3e6449296ae2e596dc95feda7ddcc6eaaa3777a18da6eeba68f
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