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 flax_model.msgpack from microsoft/graphcodebert-base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/microsoft/graphcodebert-base/resolve/refs%2Fpr%2F1/flax_model.msgpack
- Command line
-
hf download hf://microsoft/graphcodebert-base@refs/pr/1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/microsoft/graphcodebert-base/resolve/refs%2Fpr%2F1/flax_model.msgpack
499 MB
- Xet hash:
- ff8630b557dcfb21a3adcadbe720deff0174122a32282fc851e064660e473696
- Size of remote file:
- 499 MB
- SHA256:
- 2d7e6e6444bb0d55b4344b35be92ddd1812182e68ab76a1f4ae03fc166a6f2be
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