Object Detection
Transformers
PyTorch
TensorBoard
English
yolos
Generated from Trainer
NFL
Sports
Helmets
Instructions to use DunnBC22/yolos-tiny-NFL_Object_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/yolos-tiny-NFL_Object_Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="DunnBC22/yolos-tiny-NFL_Object_Detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("DunnBC22/yolos-tiny-NFL_Object_Detection") model = AutoModelForObjectDetection.from_pretrained("DunnBC22/yolos-tiny-NFL_Object_Detection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:4ecd521703fa2e4926cb31ce9bcdbc82b1d9fad186c51343aa8a5a5f7f3adab1
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size 25912488
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