Instructions to use averrous/workout_model_vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use averrous/workout_model_vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="averrous/workout_model_vit") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("averrous/workout_model_vit") model = AutoModelForImageClassification.from_pretrained("averrous/workout_model_vit") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files
model.safetensors
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runs/May27_06-16-20_9167730a47af/events.out.tfevents.1716790581.9167730a47af.375.16
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