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README.md
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# Model Card for clip-vit-base-patch16_eurosat_l-lora-16
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## Usage
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```python
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from transformers import CLIPVisionModel
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from peft import PeftModel
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from fusion_bench.method.classification.clip_finetune import linearize_lora_model_
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base_model = CLIPVisionModel.from_pretrained("openai/clip-vit-base-patch16").vision_model
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peft_model_id = "openai/clip-vit-base-patch16_eurosat_l-lora-16"
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model = PeftModel.from_pretrained(base_model, peft_model_id)
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model = linearize_lora_model_(model)
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```
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## Model Card Contact
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### Framework versions
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# Model Card for clip-vit-base-patch16_eurosat_l-lora-16
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## Model Card Contact
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### Framework versions
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping":
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"base_model_class": "CLIPVisionTransformer",
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"parent_library": "transformers.models.clip.modeling_clip"
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},
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"base_model_name_or_path": "openai/clip-vit-base-patch16",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode":
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "openai/clip-vit-base-patch16",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": false,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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adapter_model.safetensors → linearized_adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 4732152
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