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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/graphcodebert-base") model = AutoModelForMaskedLM.from_pretrained("microsoft/graphcodebert-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from microsoft/graphcodebert-base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/microsoft/graphcodebert-base/resolve/refs%2Fpr%2F5/model.safetensors
- Command line
-
hf download hf://microsoft/graphcodebert-base@refs/pr/5/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/microsoft/graphcodebert-base/resolve/refs%2Fpr%2F5/model.safetensors
499 MB
- Xet hash:
- 546e4a545df908ffb95e9fe8afc16f7319cd14921164cc27d2ec21fb5b84ded1
- Size of remote file:
- 499 MB
- SHA256:
- bd1f80fa32ae8e0e952c8f4a3e41cd6285924bd1b7d7c8b8db7498fd15e758c7
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