Instructions to use SvNext/GambleENTItTyDETR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SvNext/GambleENTItTyDETR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SvNext/GambleENTItTyDETR")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SvNext/GambleENTItTyDETR") model = AutoModelForObjectDetection.from_pretrained("SvNext/GambleENTItTyDETR") - 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 sha256:81d44cae2b022c5876ed89b72cbc1e4fa1e2b3f1e7e17ef3340626c87ba8ab54
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size 166496396
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