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Upload quantized ONNX model

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README.md ADDED
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+ ---
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+ library_name: optimum
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+ tags:
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+ - onnx
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+ - quantized
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+ - int8
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+ - intent-classification
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+ base_model: rbojja/intent-classification-small
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+ ---
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+
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+ # Intent Classification ONNX Quantized
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+
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+ Quantized ONNX version for fast inference.
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+
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+ ## Usage
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+
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+ ```python
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+ from optimum.onnxruntime import ORTModelForFeatureExtraction
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+ from transformers import AutoTokenizer
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+
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+ model = ORTModelForFeatureExtraction.from_pretrained("pythn/intent-classification-onnx-quantized")
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+ tokenizer = AutoTokenizer.from_pretrained("pythn/intent-classification-onnx-quantized")
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+
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+ text = "I want to book a flight"
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+ inputs = tokenizer(text, return_tensors="pt")
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+ outputs = model(**inputs)
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+ ```
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+
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+ ## Performance
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+ - ~4x smaller size
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+ - 2-4x faster inference
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+ - Minimal accuracy loss
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+ }
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+ {
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+ "one_external_file": true,
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+ "quantization": {
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+ "activations_dtype": "QUInt8",
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+ "activations_symmetric": false,
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+ "format": "QOperator",
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+ "is_static": false,
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+ "mode": "IntegerOps",
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+ "nodes_to_exclude": [],
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+ "nodes_to_quantize": [],
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+ "operators_to_quantize": [
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+ "Conv",
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+ "MatMul",
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+ "Attention",
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+ "LSTM",
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+ "Gather",
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+ ],
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+ }
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