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Surgical Instruments LoRA Adapter

This repository contains a LoRA adapter for OpenCLIP vision inference.

KindLoRABase modellaion/CLIP-ViT-B-32-DataComp.XL-s13B-b90KVersionadapter_modelCgrade

Model source

Kind
LoRA
File size
2.82 MB
Base model
laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K
Version
vadapter_model
Updated
Oct 22, 2026
Source
Hugging Face

Source description

PEFT LoRA Adapter

This repository contains a LoRA adapter for OpenCLIP vision inference.

  • Base model: open-clip:laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K
  • Adapter target: visual.transformer
  • Task: image_embedding

Usage

import open_clip
import torch
from peft import PeftModel

MODEL_NAME = 'hf-hub:laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K'
ADAPTER_REPO = 'mounkie/surgical_instruments-lora-adapter'

model, _, preprocess = open_clip.create_model_and_transforms(MODEL_NAME)
model.visual.transformer = PeftModel.from_pretrained(
    model.visual.transformer,
    ADAPTER_REPO,
)
model.eval()

# image = preprocess(pil_image).unsqueeze(0)
# with torch.no_grad():
#     image_features = model.encode_image(image)
#     image_features = image_features / image_features.norm(dim=-1, keepdim=True)

Sources

1 source
Hugging FacePrimaryVersion 0e681afa3e1bdc3ac1b941a7dbc9e1a9cca03bcb
huggingface.co/mounkie/surgical_instruments-lora-adapter/tree/0e681afa3e1bdc3ac1b941a7dbc9e1a9cca03bcb

Verified Oct 22

Model artifacts

1 artifact

adapter_model.safetensors

safetensors · 2.82 MB · SHA-256 6d009ee7694c…7109 · Hugging Face

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Source excerpts

2 excerpts

--- library_name: peft pipeline_tag: image-feature-extraction tags: - peft - lora - open-clip - image-feature-extraction base_model: laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K --- # PEFT LoRA Adapter This repository contains a LoRA adapter for OpenCLIP vision inference. - Base model: `open-clip:laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K` - Adapter target: `visual.transformer` - Task: `image_embedding` ## Usage ```python import open_clip import torch from peft import PeftModel MODEL_NAME = 'hf-hub:laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K' ADAPTER_REPO = 'mounkie/surgical_instruments-lora-adapter' model, _, preprocess = open_clip.create_model_and_transforms(MODEL_NAME) model.visual.transformer = PeftModel.from_pretrained( model.visual.transformer, ADAPTER_REPO, ) model.eval() # image = preprocess(pil_image).unsqueeze(0) # with torch.no_grad(): # image_features = model.encode_image(image) # image_features = image_features / image_features.norm(dim=-1, keepdim=True) ```

Source context: 5 downloads · 0 likes · Pipeline image-feature-extraction · Library peft · Repo mounkie/surgical_instruments-lora-adapter