Instructions to use rshrott/ryan_model3272024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rshrott/ryan_model3272024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rshrott/ryan_model3272024") 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("rshrott/ryan_model3272024") model = AutoModelForImageClassification.from_pretrained("rshrott/ryan_model3272024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
model.safetensors
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runs/Mar27_22-31-01_ryanserver/events.out.tfevents.1711593067.ryanserver.23828.0
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runs/Mar27_22-47-32_ryanserver/events.out.tfevents.1711594058.ryanserver.28085.0
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training_args.bin
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