Instructions to use CollectionStudio/sam2-hiera-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CollectionStudio/sam2-hiera-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="CollectionStudio/sam2-hiera-small")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("CollectionStudio/sam2-hiera-small") model = AutoModel.from_pretrained("CollectionStudio/sam2-hiera-small") - Notebooks
- Google Colab
- Kaggle
File size: 95 Bytes
4c36ac0 | 1 2 3 4 5 6 | {
"point_pad_value": -10,
"processor_class": "Sam2VideoProcessor",
"target_size": 1024
}
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