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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...

TipoOtherVersãoRevision 22707c0

Fonte do modelo

Tipo
Other
Tamanho do arquivo
355 MB
Versão
vRevision 22707c0
Atualizado
17 de set. de 2026
Downloads
24
Fonte
Hugging Face

Descrição da fonte

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.

Fontes

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

Verificado 17 de set.

Artefatos de modelo

1 artefato

model.safetensors

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

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Trechos de fonte

2 trechos

--- 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