Image Classification
Transformers
Safetensors
PyTorch
vit
Not-For-All-Audiences
Eval Results (legacy)
Instructions to use giacomoarienti/nsfw-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giacomoarienti/nsfw-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="giacomoarienti/nsfw-classifier") 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("giacomoarienti/nsfw-classifier") model = AutoModelForImageClassification.from_pretrained("giacomoarienti/nsfw-classifier", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fb7cff2334d95713cacbd9184b4d137dedd0c4709738c5ef72ae4c7345b8333
- Size of remote file:
- 343 MB
- SHA256:
- 56ef6f545166e33eee39486ba05a413335e05814227699d31e029f5a15df373e
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