Upload tiny models for BeitForImageClassification
Browse files- config.json +46 -0
- preprocessor_config.json +28 -0
- pytorch_model.bin +3 -0
config.json
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{
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"architectures": [
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"BeitForImageClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"auxiliary_channels": 256,
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"auxiliary_concat_input": false,
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"auxiliary_loss_weight": 0.4,
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"auxiliary_num_convs": 1,
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"drop_path_rate": 0.1,
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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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"layer_scale_init_value": 0.1,
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"model_type": "beit",
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"num_attention_heads": 4,
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"num_channels": 3,
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"num_hidden_layers": 4,
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"out_indices": [
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0,
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1,
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2,
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3
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],
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"patch_size": 2,
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"pool_scales": [
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1,
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2,
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3,
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6
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],
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"semantic_loss_ignore_index": 255,
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"torch_dtype": "float32",
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"transformers_version": "4.25.0.dev0",
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"use_absolute_position_embeddings": false,
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"use_auxiliary_head": true,
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"use_mask_token": false,
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"use_mean_pooling": true,
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"use_relative_position_bias": false,
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"use_shared_relative_position_bias": false,
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"vocab_size": 100
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}
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preprocessor_config.json
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{
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"crop_size": {
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"height": 30,
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"width": 30
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},
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"do_center_crop": true,
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"do_normalize": true,
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"do_reduce_labels": false,
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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": "BeitImageProcessor",
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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": 3,
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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:cd5ddc97ea2c9f993d7391ef52b8c3704d8fd1f07b4517166520b6f9078a6498
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size 135186
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