Instructions to use bswift/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bswift/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="bswift/test") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, VisionTransformerForImageClassification processor = AutoImageProcessor.from_pretrained("bswift/test") model = VisionTransformerForImageClassification.from_pretrained("bswift/test") - Notebooks
- Google Colab
- Kaggle
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# ch-observations-12-12-2023-200530
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## Description
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Fine-tuned vit_large_patch16 model for ch-observations-12-12-2023-200530
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## References
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- Reference 1
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- Reference 2
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pipeline_tag: image-classification
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# ch-observations-12-12-2023-200530
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## Description
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Fine-tuned vit_large_patch16 model for ch-observations-12-12-2023-200530
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## References
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- Reference 1
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- Reference 2
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