Instructions to use jinhong426/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinhong426/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="jinhong426/test")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("jinhong426/test") model = Mask2FormerForUniversalSegmentation.from_pretrained("jinhong426/test") - Notebooks
- Google Colab
- Kaggle
Commit ·
292d7ec
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Parent(s): c49fcac
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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