Model Details
Full Model IDFreepik/nsfw_image_detector
Pipeline / Taskimage-classification
Librarytransformers
Downloads (all-time)428.2K
Likes58
Last Modified5/9/2025
Author / OrgFreepik
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="Freepik/nsfw_image_detector")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformerssafetensorstimm_wrapperimage-classificationpytorcharxiv:2303.11331base_model:timm/eva02_base_patch14_448.mim_in22k_ft_in22k_in1kbase_model:finetune:timm/eva02_base_patch14_448.mim_in22k_ft_in22k_in1klicense:mitendpoints_compatibledeploy:azureregion:usnot-for-all-audiences
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Access model files, inference API, and full documentation on Hugging Face.
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
⬇ Downloads428.2K
����� Community Likes58
🛠�� 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.