Instructions to use prithivMLmods/Fashion-Mnist-SigLIP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Fashion-Mnist-SigLIP2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Fashion-Mnist-SigLIP2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Fashion-Mnist-SigLIP2") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Fashion-Mnist-SigLIP2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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datasets:
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- zalando-datasets/fashion_mnist
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# **Fashion-Mnist-SigLIP2**
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> **Fashion-Mnist-SigLIP2** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to classify images into **Fashion-MNIST** categories using the **SiglipForImageClassification** architecture.
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- **Fashion Recognition:** Classifying fashion images into common categories like shirts, sneakers, and dresses.
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- **E-commerce Applications:** Assisting online retailers in organizing and tagging clothing items for better search and recommendations.
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- **Automated Fashion Sorting:** Helping automated inventory management systems classify fashion items.
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- **Educational Purposes:** Supporting AI and ML research in vision-based fashion classification models.
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datasets:
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- zalando-datasets/fashion_mnist
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# **Fashion-Mnist-SigLIP2**
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> **Fashion-Mnist-SigLIP2** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to classify images into **Fashion-MNIST** categories using the **SiglipForImageClassification** architecture.
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- **Fashion Recognition:** Classifying fashion images into common categories like shirts, sneakers, and dresses.
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- **E-commerce Applications:** Assisting online retailers in organizing and tagging clothing items for better search and recommendations.
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- **Automated Fashion Sorting:** Helping automated inventory management systems classify fashion items.
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- **Educational Purposes:** Supporting AI and ML research in vision-based fashion classification models.
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