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:
- 5b25f9a07aedaa462ab9ec177acac3582ab7f4f54d582acfbf71a36ace86ac8a
- Size of remote file:
- 499 MB
- SHA256:
- fc542850abf74be2df516bcdedfc2dcdb9bd02c8098a6d5f4d63da73cbcb9e71
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