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 preprocessor_config.json from p1atdev/MangaLineExtraction-hf: direct link, hf CLI and curl.
- Browser
- Download file 336 Bytes
-
https://huggingface.co/p1atdev/MangaLineExtraction-hf/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://p1atdev/MangaLineExtraction-hf/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/p1atdev/MangaLineExtraction-hf/resolve/main/preprocessor_config.json
336 Bytes
| { | |
| "image_processor_type": "MLEImageProcessor", | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_mle.MLEImageProcessor" | |
| }, | |
| "do_greyscale": true, | |
| "do_normalize": false, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": 0.5, | |
| "image_std": 0.5, | |
| "resample": 2, | |
| "rescale_factor": 1.0, | |
| "resize_factor": 16 | |
| } | |