fine-tuned SigLIP vision tower (torch) for GPU re-embed
Browse files- config.json +18 -0
- model.safetensors +3 -0
- preprocessor_config.json +23 -0
config.json
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{
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"architectures": [
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"SiglipVisionModel"
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],
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"attention_dropout": 0.0,
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"dtype": "float32",
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 768,
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"image_size": 512,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-06,
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"model_type": "siglip_vision_model",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"transformers_version": "4.57.6"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:79a5a6771a6dac5834eb776b4fd23458a54ab1c51b09222fbdc429570e99d4b7
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size 374105312
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preprocessor_config.json
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{
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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": "SiglipImageProcessor",
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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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"processor_class": "SiglipProcessor",
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 512,
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"width": 512
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}
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}
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