Image Classification
Transformers
nsfw-detection
content-moderation
clip
safety
child-safety
Eval Results (legacy)
Instructions to use younissk/DISCO-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use younissk/DISCO-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="younissk/DISCO-v0.1") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("younissk/DISCO-v0.1", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 637b9861b86a9c083b52117acc40f2f54821abb397c2fed1cb8c10329e3b5c81
- Size of remote file:
- 1.54 MB
- SHA256:
- 024ad6af6bcde333be967448bc3a5f77971b8445969842b1cc3f5ef3e9c2ac72
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