Instructions to use rjhugs/modelStructure_TT_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rjhugs/modelStructure_TT_V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="rjhugs/modelStructure_TT_V3")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("rjhugs/modelStructure_TT_V3") model = AutoModelForObjectDetection.from_pretrained("rjhugs/modelStructure_TT_V3") - 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 sha256:4f534590ef80c5c0f215e2c5c2d595ea44dede2ab17163c81e5b78cc938a7edf
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size 115434072
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