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Browse files- config.json +22 -0
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- preprocessor_config.json +22 -0
config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTModel"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"transformers_version": "4.28.1"
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}
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:94b27f9990898d37303d5966646bec1947f64f16e4d147a33584139fbf4cade0
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size 343440623
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:1e78fa07f91dd36b9592677f018030305bd7833a6d01e5f3e18e76a4bee4f80f
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size 87038161
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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