Image Classification
Transformers
Safetensors
English
siglip
Anime
SigLIP2
Image-Detection
3D
Comic
Illustration
Bangumi
Instructions to use prithivMLmods/Anime-Classification-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Anime-Classification-v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Anime-Classification-v1.0") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Anime-Classification-v1.0") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Anime-Classification-v1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-668/rng_state.pth from prithivMLmods/Anime-Classification-v1.0: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/prithivMLmods/Anime-Classification-v1.0/resolve/main/checkpoint-668/rng_state.pth
- Command line
-
hf download hf://prithivMLmods/Anime-Classification-v1.0/checkpoint-668/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/prithivMLmods/Anime-Classification-v1.0/resolve/main/checkpoint-668/rng_state.pth
14.2 kB
- Xet hash:
- fd39933f6a6c21283c6c18c6da2418489e5ebbf86e27f1bdb13dc221b9f50e2e
- Size of remote file:
- 14.2 kB
- SHA256:
- 93e21a609470d81776f815cbaec32a1e1da2dfbf4721ecd8a0a9fb6c6116a796
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