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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from microsoft/graphcodebert-base: direct link, hf CLI and curl.
- Browser
- Download file 657 MB
-
https://huggingface.co/microsoft/graphcodebert-base/resolve/refs%2Fpr%2F1/tf_model.h5
- Command line
-
hf download hf://microsoft/graphcodebert-base@refs/pr/1/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/microsoft/graphcodebert-base/resolve/refs%2Fpr%2F1/tf_model.h5
657 MB
- Xet hash:
- 32322fdff769e061faebf5747b0a89e4c65bada57295a6ba9bddf0b189a37d14
- Size of remote file:
- 657 MB
- SHA256:
- 616f8017dbc5a3e6449296ae2e596dc95feda7ddcc6eaaa3777a18da6eeba68f
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