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Browse files- config.json +22 -0
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- preprocessor_config.json +23 -0
config.json
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{
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"_name_or_path": "facebook/dino-vitb16",
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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": "4.29.2"
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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:e8a3a7cb296e71d048b89855fff636dd5aa9f9b0b3d8106e631924e4da1ee1da
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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:aadbd2cff4c2b12966ddb9668e777edb7ff942d86157562da83cd346576c0205
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size 87453205
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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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"feature_extractor_type": "ViTFeatureExtractor",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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0.229,
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0.224,
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0.225
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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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