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
Add exported openvino model 'openvino_model_qint8_quantized.xml'
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by buelfhood - opened
openvino/openvino_model_qint8_quantized.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2c8e3031d9dde8d7400e19840065579f96e4db37000bd59ce298e87f2da86db
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size 125216864
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openvino/openvino_model_qint8_quantized.xml
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