Instructions to use Jackay/__ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jackay/__ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jackay/__") 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("Jackay/__") model = AutoModelForImageClassification.from_pretrained("Jackay/__") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 32
Browse files
pytorch_model.bin
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runs/May28_13-59-45_513a93279c32/events.out.tfevents.1685282395.513a93279c32.781.0
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