Instructions to use syscv-community/sam-hq-vit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syscv-community/sam-hq-vit-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="syscv-community/sam-hq-vit-base")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("syscv-community/sam-hq-vit-base") model = AutoModelForMaskGeneration.from_pretrained("syscv-community/sam-hq-vit-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e7a56cf84eb388fb4576edf12ff1dfad28c93fda5d1fccb1820584eee2102458
- Size of remote file:
- 813 kB
- SHA256:
- 73c912b08b38bda89a0e4b32609784e980f09c1f0c25e63ca7e3461b0f40bb3a
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