Instructions to use fxmarty/sam-vit-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/sam-vit-tiny-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="fxmarty/sam-vit-tiny-random")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("fxmarty/sam-vit-tiny-random") model = AutoModelForMaskGeneration.from_pretrained("fxmarty/sam-vit-tiny-random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b542194cd74db7adfe145300a2253013d1c76cc4de24e5376aa6273e544b9a2
- Size of remote file:
- 9.43 MB
- SHA256:
- e990c8d7f134eb442a2dd3eb002674d758ccededbc620e85b882bf7fe23b0dc7
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