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Siglip2 Base Patch16 Style Naflex

This is a finetune of the vision model of google/siglip2-base-patch16-naflex. It has been finetuned on over 90k styles with 4-5 images per style using an arcface loss with patch lengths of (256, 576, 784, 1024). The...

TipoOtherVersiónRevision 22707c0

Fuente del modelo

Tipo
Other
Tamaño del archivo
355 MB
Versión
vRevision 22707c0
Actualizado
17 sept 2026
Descargas
24
Fuente
Hugging Face

Descripción de la fuente

SigLIP 2 Style naflex

This is a finetune of the vision model of google/siglip2-base-patch16-naflex. It has been finetuned on over 90k styles with 4-5 images per style using an arcface loss with patch lengths of (256, 576, 784, 1024). The arcface head has been removed. The pooled embedding should now function as a style embedding.

Fuentes

1 fuente
Hugging FacePrincipalVersión 22707c00d4671ecf5cc0fc7606ed6f6955704ea8
huggingface.co/ostris/siglip2-base-patch16-style-naflex/tree/22707c00d4671ecf5cc0fc7606ed6f6955704ea8

Verificado 17 sept

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 355 MB · SHA-256 d786f94dc050…5098 · Hugging Face

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Extractos de fuentes

2 extractos

--- license: apache-2.0 tags: - vision library_name: transformers pipeline_tag: zero-shot-image-classification --- # SigLIP 2 Style naflex This is a finetune of the vision model of [google/siglip2-base-patch16-naflex](https://huggingface.co/google/siglip2-base-patch16-naflex). It has been finetuned on over 90k styles with 4-5 images per style using an arcface loss with patch lengths of `(256, 576, 784, 1024)`. The arcface head has been removed. The pooled embedding should now function as a style embedding.

Source context: 24 downloads · 4 likes · Pipeline zero-shot-image-classification · Library transformers · Repo ostris/siglip2-base-patch16-style-naflex