Instructions to use averrous/workout_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use averrous/workout_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="averrous/workout_model") 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") model = AutoModelForImageClassification.from_pretrained("averrous/workout_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10
Browse files
model.safetensors
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runs/May27_03-50-19_9167730a47af/events.out.tfevents.1716781820.9167730a47af.375.4
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