Model Details
Full Model IDmicrosoft/swinv2-tiny-patch4-window16-256
Pipeline / Taskimage-classification
Librarytransformers
Downloads (all-time)377.3K
Likes13
Last Modified12/10/2022
Author / Orgmicrosoft
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("image-classification", model="microsoft/swinv2-tiny-patch4-window16-256")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchswinv2image-classificationvisiondataset:imagenet-1karxiv:2111.09883license:apache-2.0endpoints_compatibledeploy:azureregion:us
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Open on Hugging Face →Browse Model Files ↗← Browse All Models🖼️ Task: Image Classification
This model is designed for the Image Classification task. Explore more models for this use case.
All Image Classification Models →📊 Popularity
⬇ Downloads377.3K
❤️ Community Likes13
🛠️ 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.