Adding ONNX file of this model (#1)
Browse files- Adding ONNX file of this model (b6fded75cdcc85d09b7c6e15acd80004201a89b3)
- onnx/config.json +31 -0
- onnx/model.onnx +3 -0
- onnx/preprocessor_config.json +22 -0
onnx/config.json
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{
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"_name_or_path": "AdamCodd/vit-base-nsfw-detector",
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"architectures": [
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"ViTForImageClassification"
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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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"id2label": {
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"0": "sfw",
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"1": "nsfw"
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},
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"image_size": 384,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"nsfw": "1",
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"sfw": "0"
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},
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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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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"transformers_version": "4.34.0"
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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:acac1ffa2de227029aa2a75ee6201b180910be5ecaeaa4779c21bd1408e9d8f9
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size 344631255
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onnx/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": 384,
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"width": 384
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}
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}
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