ModelPublicadoExterno

Fastvit Mci0.apple Mclip2 Dfndr2b

A MobileCLIP v2 (image encoder only) for timm. Equivalent to image tower from

Fuentehuggingface.co/timm/fastvit_mci0.apple_mclip2_dfndr2b/tree/577a2e992da2c7ba7cadc2a490bcfadfb2d69bce

TipoOtherVersiónRevision 577a2e9Ccalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 43,8–44,0 MB
Versión: vRevision 577a2e9
Actualizado: 17 sept 2026
Descargas: 395
Fuente: Hugging Face

Descripción de la fuente

Model card for fastvit_mci0.apple_mclip2_dfndr2b

A MobileCLIP v2 (image encoder only) for timm. Equivalent to image tower from https://huggingface.co/timm/MobileCLIP2-S0-OpenCLIP.

Model Details

Dataset: DFNDR-2B
Papers:
- MobileCLIP2: Improving Multi-Modal Reinforced Training: https://arxiv.org/abs/2508.20691

Citation

@article{faghri2025mobileclip2,
          title={MobileCLIP2: Improving Multi-Modal Reinforced Training},
          author={Faghri, Fartash and Vasu, Pavan Kumar Anasosalu and Koc, Cem and Shankar, Vaishaal and Toshev, Alexander and Tuzel, Oncel and Pouransari, Hadi},
          journal={arXiv preprint arXiv:2508.20691},
          year={2025}
        }

Fuentes

1 fuente

Hugging FacePrincipalVersión 577a2e992da2c7ba7cadc2a490bcfadfb2d69bce

huggingface.co/timm/fastvit_mci0.apple_mclip2_dfndr2b/tree/577a2e992da2c7ba7cadc2a490bcfadfb2d69bce

Verificado 2 sept

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Artefactos del modelo

2 artefactos

model.safetensors

safetensors · 43,8 MB · SHA-256 70a995b7e738…3d04 · Hugging Face

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pytorch_model.bin

bin · 44,0 MB · SHA-256 f5be2c4f01e8…e447 · Hugging Face

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Extractos de fuentes

2 extractos

Readme2 septhuggingface.co/timm/fastvit_mci0.apple_mclip2_dfndr2b

--- tags: - timm - transformers - image-feature-extraction - mobileclip - mobileclip2 library_name: timm license: apple-amlr datasets: - dfndr-2b --- # Model card for fastvit_mci0.apple_mclip2_dfndr2b A MobileCLIP v2 (image encoder only) for `timm`. Equivalent to image tower from https://huggingface.co/timm/MobileCLIP2-S0-OpenCLIP. ## Model Details - **Dataset:** DFNDR-2B - **Papers:** - MobileCLIP2: Improving Multi-Modal Reinforced Training: https://arxiv.org/abs/2508.20691 ## Citation ```bibtex @article{faghri2025mobileclip2, title={MobileCLIP2: Improving Multi-Modal Reinforced Training}, author={Faghri, Fartash and Vasu, Pavan Kumar Anasosalu and Koc, Cem and Shankar, Vaishaal and Toshev, Alexander and Tuzel, Oncel and Pouransari, Hadi}, journal={arXiv preprint arXiv:2508.20691}, year={2025} } ```

Note2 septhuggingface.co/timm/fastvit_mci0.apple_mclip2_dfndr2b

Source context: 395 downloads · 0 likes · Pipeline image-feature-extraction · Library timm · Repo timm/fastvit_mci0.apple_mclip2_dfndr2b