Instructions to use miittnnss/real-or-ai-generated-anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miittnnss/real-or-ai-generated-anime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="miittnnss/real-or-ai-generated-anime") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("miittnnss/real-or-ai-generated-anime", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from miittnnss/real-or-ai-generated-anime: direct link, hf CLI and curl.
- Browser
- Download file 347 MB
-
https://huggingface.co/miittnnss/real-or-ai-generated-anime/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://miittnnss/real-or-ai-generated-anime/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/miittnnss/real-or-ai-generated-anime/resolve/main/pytorch_model.bin
347 MB
- Xet hash:
- c13637cbe3b59ea4fc2860d49e3ee9c8e2e80f0afbae14030e65c78e02b54f44
- Size of remote file:
- 347 MB
- SHA256:
- b975eefa805b8d28eed219742f7c132742155ff21c625aea71d3623fe559988e
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