Instructions to use OtraBoi/classifier-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OtraBoi/classifier-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OtraBoi/classifier-onnx")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("OtraBoi/classifier-onnx") model = AutoModelForSequenceClassification.from_pretrained("OtraBoi/classifier-onnx") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "/
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"architectures": [
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"LayoutLMv3ForSequenceClassification"
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],
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{
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"_name_or_path": "microsoft/layoutlmv3-base",
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"architectures": [
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"LayoutLMv3ForSequenceClassification"
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],
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