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
Update image_processing_mle.py
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image_processing_mle.py
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# copied from ViTImageProcessor (https://github.com/huggingface/transformers/blob/v4.37.2/src/transformers/models/vit/image_processing_vit.py)
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"""Image processor class for
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from typing import Optional, List, Dict, Union, Tuple
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# copied from ViTImageProcessor (https://github.com/huggingface/transformers/blob/v4.37.2/src/transformers/models/vit/image_processing_vit.py)
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"""Image processor class for Manga Line Extraction."""
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from typing import Optional, List, Dict, Union, Tuple
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