Instructions to use danelcsb/sam2_hiera_base_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danelcsb/sam2_hiera_base_plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="danelcsb/sam2_hiera_base_plus")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("danelcsb/sam2_hiera_base_plus") model = AutoModel.from_pretrained("danelcsb/sam2_hiera_base_plus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbef47c82b26c436dbaa4f6c91e2945bbdc859a267b7b8fd1d4d9ae06f4ad2e8
- Size of remote file:
- 323 MB
- SHA256:
- 28a635cd8178742499409efb7a549cb2540befe5c295bf5c48f1e138ebb6b186
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