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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:edfb0462392541fca9af44ff039bfb32dbd0c939997f3abb77a26e23af7afd7c
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size 2564432288
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