Instructions to use p1atdev/MangaLineExtraction-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p1atdev/MangaLineExtraction-hf with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-image" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-image", model="p1atdev/MangaLineExtraction-hf", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("p1atdev/MangaLineExtraction-hf", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from p1atdev/MangaLineExtraction-hf: direct link, hf CLI and curl.
- Browser
- Download file 86.4 MB
-
https://huggingface.co/p1atdev/MangaLineExtraction-hf/resolve/main/model.safetensors
- Command line
-
hf download hf://p1atdev/MangaLineExtraction-hf/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/p1atdev/MangaLineExtraction-hf/resolve/main/model.safetensors
86.4 MB
- Xet hash:
- ee0659dfc382ebd5f0293161b8e75eb1ff4a3787b6702e503c06458be9567b7a
- Size of remote file:
- 86.4 MB
- SHA256:
- ea2fd106f2217f4e06a5d20c300e30a64c26a2f1f9e8068e114d2e9e040d2fa0
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