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
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pipeline_tag: object-detection
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# *** This model is not
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# yolos-tiny-NFL_Object_Detection
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pipeline_tag: object-detection
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# *** This model is not completely trained!!! *** #
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## This model requires more training than what the resouces I have can offer!!! #
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# yolos-tiny-NFL_Object_Detection
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