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 from transformers import pipeline pipe = pipeline("image-to-image", model="p1atdev/MangaLineExtraction-hf", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("p1atdev/MangaLineExtraction-hf", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 336 Bytes
f77624e 43a178d f77624e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"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
}
|