Instructions to use NbAiLab/autocrop-tekst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/autocrop-tekst with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="NbAiLab/autocrop-tekst")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("NbAiLab/autocrop-tekst") model = SegformerForSemanticSegmentation.from_pretrained("NbAiLab/autocrop-tekst") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 494f597fe36115f1c25c7fc4e8547711bb10cc759e03cedb3453db14d68ea995
- Size of remote file:
- 5.33 kB
- SHA256:
- 7e618ec3662ff2564b1a8d190fdeebdfd892b998acd585da0161e712b19695c9
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