Instructions to use microsoft/unixcoder-base-nine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unixcoder-base-nine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="microsoft/unixcoder-base-nine")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("microsoft/unixcoder-base-nine") model = AutoModel.from_pretrained("microsoft/unixcoder-base-nine") - 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 sha256:0a969561fac15b388175c723adc3bee7f6a61596b524c72bdef95202211579cc
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size 126511744
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openvino/openvino_model_qint8_quantized.xml
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