Instructions to use jadechoghari/robustsam-vit-huge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadechoghari/robustsam-vit-huge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="jadechoghari/robustsam-vit-huge")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("jadechoghari/robustsam-vit-huge") model = AutoModelForMaskGeneration.from_pretrained("jadechoghari/robustsam-vit-huge") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
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{
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"_commit_hash": null,
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"_name_or_path": "/tmp/facebook/sam-vit-huge",
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"architectures": [
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"SamModel"
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],
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{
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"_commit_hash": null,
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"architectures": [
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"SamModel"
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],
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