viknsagit

/

nsfw_detection

like 3

# Gated model: Login with a HF token with gated access permission
hf auth login

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="viknsagit/nsfw_detection")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")

# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification

processor = AutoImageProcessor.from_pretrained("viknsagit/nsfw_detection")
model = AutoModelForImageClassification.from_pretrained("viknsagit/nsfw_detection", device_map="auto")