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README.md
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license: apache-2.0
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datasets:
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- frgfm/imagenette
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> IMAGENETTE is a vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for multi-class image classification. It is trained to classify images into 10 categories from the popular Imagenette dataset using the SiglipForImageClassification architecture.
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```py
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Classification Report:
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---
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license: apache-2.0
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datasets:
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- frgfm/imagenette
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language:
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- en
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base_model:
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- google/siglip2-base-patch16-224
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pipeline_tag: image-classification
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library_name: transformers
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tags:
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- ImageNet
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- SigLIP2
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- Classifier
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---
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> IMAGENETTE is a vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for multi-class image classification. It is trained to classify images into 10 categories from the popular Imagenette dataset using the SiglipForImageClassification architecture.
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> [!note]
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*SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features* https://arxiv.org/pdf/2502.14786
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> [!note]
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> *ImageNet Large Scale Visual Recognition Challenge* https://arxiv.org/pdf/1409.0575
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```py
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Classification Report:
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