Image Classification
Transformers
Safetensors
PyTorch
vit
vision
nsfw
nsfw-detection
nsfw-classifier
content-moderation
safety
Not-For-All-Audiences
Instructions to use Parveshiiii/SafeScan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Parveshiiii/SafeScan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Parveshiiii/SafeScan") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Parveshiiii/SafeScan") model = AutoModelForImageClassification.from_pretrained("Parveshiiii/SafeScan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("Parveshiiii/SafeScan")
model = AutoModelForImageClassification.from_pretrained("Parveshiiii/SafeScan", device_map="auto")Quick Links
Not-For-All-Audiences
This repository has been marked as containing sensitive content and may contain potentially harmful and sensitive information.
View model card
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Parveshiiii/SafeScan") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")