Instructions to use gary2002/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gary2002/output_dir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gary2002/output_dir") 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("gary2002/output_dir") model = AutoModelForImageClassification.from_pretrained("gary2002/output_dir") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 713480d1489e7aff931f685370cd4f6f30687f5787f9c09ccdd029a87d460d14
- Size of remote file:
- 4.92 kB
- SHA256:
- 34a178c5fa7d74c3f188f2df3099bf8a231b874c9727385af46a6d74e24d4e7d
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