Instructions to use shilpid/candy-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shilpid/candy-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shilpid/candy-finetuned")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("shilpid/candy-finetuned") model = AutoModelForObjectDetection.from_pretrained("shilpid/candy-finetuned") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files
pytorch_model.bin
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runs/Jul06_16-23-50_77ef8f9e19dd/events.out.tfevents.1688660686.77ef8f9e19dd.994.0
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training_args.bin
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