Model Details
Full Model IDFalconsai/nsfw_image_detection
Pipeline / Taskimage-classification
Librarytransformers
Downloads (all-time)8.5M
Likes1.1K
Last Modified4/6/2025
Author / OrgFalconsai
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="Falconsai/nsfw_image_detection")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformerspytorchsafetensorsvitimage-classificationarxiv:2010.11929license: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
⬇ Downloads8.5M
����� Community Likes1.1K
🛠�� 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.