Instructions to use Isaacks/test_push with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isaacks/test_push with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Isaacks/test_push")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Isaacks/test_push") model = SegformerForSemanticSegmentation.from_pretrained("Isaacks/test_push") - Notebooks
- Google Colab
- Kaggle
Upload model_state.pth with huggingface_hub
Browse files- model_state.pth +3 -0
model_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e21ce64823453c771bc1d899ebc74ae30a68f20292a7e00b60e7a9921b837db
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size 14942121
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