Instructions to use mounkie/surgical_instruments-lora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mounkie/surgical_instruments-lora-adapter with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:In adapter_config.json: "peft.base_model_name_or_path" must be a string
Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
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)
- Downloads last month
- 234
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for mounkie/surgical_instruments-lora-adapter
Base model
laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K