Instructions to use SvNext/GambleTestYOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SvNext/GambleTestYOLO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SvNext/GambleTestYOLO")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SvNext/GambleTestYOLO") model = AutoModelForObjectDetection.from_pretrained("SvNext/GambleTestYOLO") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
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 sha256:23d33e4c7217d9665e6743d254ab17cf92c45a171345bdc40bb0ffa08d9d96aa
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size 25910944
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