Instructions to use unojcn9f/screenlist-slicing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unojcn9f/screenlist-slicing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="unojcn9f/screenlist-slicing")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("unojcn9f/screenlist-slicing") model = AutoModelForObjectDetection.from_pretrained("unojcn9f/screenlist-slicing") - 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 sha256:63299df3dc873fb7e5a829e1bc1a70e89f04c86fb36c5cbdb31f5521e76b6a4c
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size 115429128
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