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
Adding `safetensors` variant of this model
#8 opened about 1 year ago
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model
#3 opened about 3 years ago
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Updated README model card
#2 opened over 3 years ago
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anjandash