upload model
Browse files- config.json +44 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "hf-internal-testing/tiny-random-SwinModel",
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"architectures": [
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"SwinModel"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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1,
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2,
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1
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],
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"drop_path_rate": 0.1,
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"embed_dim": 16,
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"encoder_stride": 8,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 64,
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"image_size": 32,
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"initializer_range": 0.02,
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 2.0,
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"model_type": "swin",
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"num_channels": 3,
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"num_heads": [
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2,
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4,
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8
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],
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"num_layers": 3,
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"out_features": null,
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"patch_size": 2,
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"path_norm": true,
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"qkv_bias": true,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.26.0",
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"use_absolute_embeddings": false,
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"window_size": 2
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}
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preprocessor_config.json
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{
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"crop_size": 32,
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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": 32,
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"width": 32
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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:e7d52a6c856f416ad106777a179444dcfdf59ed84a698054a3ac4808c89e1ad4
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size 283437
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