Upload tiny models for ViTMAEModel
Browse files- config.json +28 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
- tf_model.h5 +3 -0
config.json
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{
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"_name_or_path": "temp/dummy/vit_mae/ViTMAEModel",
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"architectures": [
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"ViTMAEModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"decoder_hidden_size": 512,
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"decoder_intermediate_size": 2048,
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"decoder_num_attention_heads": 16,
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"decoder_num_hidden_layers": 8,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 32,
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"image_size": 30,
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"initializer_range": 0.02,
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"intermediate_size": 37,
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"layer_norm_eps": 1e-12,
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"mask_ratio": 0.6,
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"model_type": "vit_mae",
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"norm_pix_loss": false,
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"num_attention_heads": 4,
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"num_channels": 3,
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"num_hidden_layers": 5,
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"patch_size": 2,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.25.0.dev0"
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}
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preprocessor_config.json
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{
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"crop_size": 30,
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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": "ViTImageProcessor",
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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": 30,
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"width": 30
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1f20d03c9e6c8dc61a2304b60e4bb5a08989a81bbebfb49bfec27a987873e6c
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size 193843
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:ece0ce78180171d41c0bd563d997665eef7dc984e47bbb9df82ff61b17cdef88
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size 284408
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