Model Details
Full Model IDtech4humans/conditional-detr-50-signature-detector
Pipeline / Taskobject-detection
Librarytransformers
Downloads (all-time)36.3K
Likes2
Last Modified6/18/2025
Author / Orgtech4humans
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("object-detection", model="tech4humans/conditional-detr-50-signature-detector")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsconditional_detrobject-detectionsignature-detectiondetrconditional-detrpytorchdataset:tech4humans/signature-detectionbase_model:microsoft/conditional-detr-resnet-50base_model:finetune:microsoft/conditional-detr-resnet-50license:apache-2.0model-indexregion:us
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This model is designed for the Object Detection task. Explore more models for this use case.
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⬇ Downloads36.3K
❤️ Community Likes2
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.