Instructions to use pcuenq/sam2-hiera-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pcuenq/sam2-hiera-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="pcuenq/sam2-hiera-large")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("pcuenq/sam2-hiera-large") model = AutoModel.from_pretrained("pcuenq/sam2-hiera-large") - Notebooks
- Google Colab
- Kaggle
| { | |
| "point_pad_value": -10, | |
| "processor_class": "Sam2VideoProcessor", | |
| "target_size": 1024 | |
| } | |