Instructions to use joelg/sam-vit-base-cotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joelg/sam-vit-base-cotes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="joelg/sam-vit-base-cotes")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("joelg/sam-vit-base-cotes") model = AutoModelForMaskGeneration.from_pretrained("joelg/sam-vit-base-cotes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c658166dd3f5d6bddc9f7e360d11a995f8fe8f7754e0092fc096a40a3418609c
- Size of remote file:
- 5.39 kB
- SHA256:
- 48086ad1f805a849029cc80a418725b7ebc2afd5a18501f053faecc415fd87c6
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