Instructions to use DiffusionWave/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DiffusionWave/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="DiffusionWave/sam3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("DiffusionWave/sam3") model = AutoModel.from_pretrained("DiffusionWave/sam3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload nsfw_wan22_train.zip
Browse files- nsfw_wan22_train.zip +3 -0
nsfw_wan22_train.zip
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