Clone of `tiny-random-beit` with matching config params.
Browse files- README.md +4 -0
- config.json +24 -0
- preprocessor_config.json +11 -0
- pytorch_model.bin +3 -0
README.md
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---
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pipeline_tag: image-segmentation
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---
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Make the feature_extractor and model config agree.
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config.json
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{
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"attention_probs_dropout_prob": 0.1,
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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": 5,
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"patch_size": 2,
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"transformers_version": "4.11.0.dev0",
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"use_absolute_position_embeddings": false,
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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": {}
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}
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preprocessor_config.json
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{
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"crop_size": 224,
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"do_center_crop": false,
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "BeitFeatureExtractor",
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"image_mean": [0.5, 0.5, 0.5],
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"image_std": [0.5, 0.5, 0.5],
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"resample": 2,
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"size": 30
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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 sha256:0a3df7348a9a4b895daa2c7fedb8360a124d6fabc891357d794e0a55cae0c564
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size 166801
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