Divyasreepat
commited on
Commit
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0175653
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Parent(s):
19bf01f
Upload folder using huggingface_hub
Browse files- README.md +18 -0
- config.json +52 -0
- metadata.json +6 -0
- model.weights.h5 +3 -0
README.md
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---
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library_name: keras-hub
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---
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This is a [`MiT` model](https://keras.io/api/keras_hub/models/mi_t) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
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Model config:
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* **name:** mi_t_backbone
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* **trainable:** True
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* **depths:** [3, 6, 40, 3]
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* **hidden_dims:** [64, 128, 320, 512]
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* **image_shape:** [224, 224, 3]
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* **num_layers:** 4
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* **blockwise_num_heads:** [1, 2, 5, 8]
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* **blockwise_sr_ratios:** [8, 4, 2, 1]
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* **max_drop_path_rate:** 0.1
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* **patch_sizes:** [7, 3, 3, 3]
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* **strides:** [4, 2, 2, 2]
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This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
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config.json
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{
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"module": "keras_hub.src.models.mix_transformer.mix_transformer_backbone",
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"class_name": "MiTBackbone",
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"config": {
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"name": "mi_t_backbone",
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"trainable": true,
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"depths": [
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3,
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6,
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40,
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3
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],
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"hidden_dims": [
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64,
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128,
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320,
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512
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],
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"image_shape": [
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224,
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224,
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3
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],
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"num_layers": 4,
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"blockwise_num_heads": [
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1,
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2,
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5,
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8
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],
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"blockwise_sr_ratios": [
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8,
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4,
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2,
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1
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],
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"max_drop_path_rate": 0.1,
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"patch_sizes": [
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7,
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3,
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3,
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3
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],
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"strides": [
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4,
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2,
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2,
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2
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]
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},
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"registered_name": "keras_hub>MiTBackbone"
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}
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metadata.json
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{
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"keras_version": "3.6.0",
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"keras_hub_version": "0.16.1",
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"parameter_count": 81443008,
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"date_saved": "2024-10-08@18:21:15"
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}
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model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:5fea70aeaa101df3b2ebf0a55b4012912aa8c537bacddee448b867db07c77dc7
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size 328032744
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