Instructions to use tanganke/clip-vit-base-patch16_mnist_l-lora-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tanganke/clip-vit-base-patch16_mnist_l-lora-16 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +26 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
README.md
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---
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base_model: openai/clip-vit-base-patch16
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library_name: peft
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---
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# Model Card for clip-vit-base-patch16_mnist_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")
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peft_model_id = "openai/clip-vit-base-patch16_mnist_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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- PEFT 0.12.0
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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": "CLIPVisionModel",
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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": true,
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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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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:63c78d2057759d69575ebacc5821b1dd09eb06343d26147920018e816ac09416
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size 2366304
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