Instructions to use giladvdn/test-sam-handler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giladvdn/test-sam-handler with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="giladvdn/test-sam-handler")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("giladvdn/test-sam-handler") model = AutoModelForMaskGeneration.from_pretrained("giladvdn/test-sam-handler") - Notebooks
- Google Colab
- Kaggle
Gilad Avidan commited on
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Parent(s): b1e71ac
added reqs
Browse files- requirements.txt +1 -0
requirements.txt
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transformers==4.31.0
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accelerate>=0.20.3
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transformers==4.31.0
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