Model Details
Full Model IDjameslahm/yolov10s
Pipeline / Taskobject-detection
Libraryyolov10
Downloads (all-time)101.5K
Likes4
Last Modified8/27/2024
Author / Orgjameslahm
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="jameslahm/yolov10s")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
yolov10safetensorsobject-detectioncomputer-visionpytorch_model_hub_mixindataset:detection-datasets/cocoarxiv:2405.14458license:agpl-3.0region:us
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Open on Hugging Face →Browse Model Files ↗← Browse All Models🔍 Task: Object Detection
This model is designed for the Object Detection task. Explore more models for this use case.
All Object Detection Models →📊 Popularity
⬇ Downloads101.5K
❤️ Community Likes4
🛠️ Requirements
- →Install: pip install yolov10
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.