ModelPublicadoExterno

Dpt Dinov2 Base Kitti

with ONNX weights to be compatible with Transformers.js.

Fuentehuggingface.co/onnx-community/dpt-dinov2-base-kitti/tree/398ca4dc1a3e1b1984662d5034d834dcf4e85c7d

TipoOtherModelo basefacebook/dpt-dinov2-base-kittiVersiónRevision 398ca4dCcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 88,8–423 MB
Modelo base: facebook/dpt-dinov2-base-kitti
Versión: vRevision 398ca4d
Actualizado: 19 oct 2026
Descargas: 7
Fuente: Hugging Face

Descripción de la fuente

https://huggingface.co/facebook/dpt-dinov2-base-kitti with ONNX weights to be compatible with Transformers.js.

Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).

Fuentes

1 fuente

Hugging FacePrincipalVersión 398ca4dc1a3e1b1984662d5034d834dcf4e85c7d

huggingface.co/onnx-community/dpt-dinov2-base-kitti/tree/398ca4dc1a3e1b1984662d5034d834dcf4e85c7d

Verificado 17 ago

Artefactos del modelo

8 artefactos

onnx/model_bnb4.onnx

onnx · 129 MB · SHA-256 35619a6091f8…5593 · Hugging Face

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onnx/model_fp16.onnx

onnx · 212 MB · SHA-256 9d9f786ea7e5…2770 · Hugging Face

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onnx/model_int8.onnx

onnx · 111 MB · SHA-256 46761147fa44…8aaf · Hugging Face

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onnx/model_q4.onnx

onnx · 134 MB · SHA-256 6803c87d85a6…71fc · Hugging Face

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onnx/model_q4f16.onnx

onnx · 88,8 MB · SHA-256 8d36c56bb3e2…e42b · Hugging Face

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onnx/model_quantized.onnx

onnx · 111 MB · SHA-256 cc13c2d8dcb5…bb19 · Hugging Face

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onnx/model_uint8.onnx

onnx · 111 MB · SHA-256 cc13c2d8dcb5…bb19 · Hugging Face

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onnx/model.onnx

onnx · 423 MB · SHA-256 60fb10011700…207c · Hugging Face

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Extractos de fuentes

2 extractos

Readme17 agohuggingface.co/onnx-community/dpt-dinov2-base-kitti

--- base_model: facebook/dpt-dinov2-base-kitti library_name: transformers.js --- https://huggingface.co/facebook/dpt-dinov2-base-kitti with ONNX weights to be compatible with Transformers.js. Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

Note17 agohuggingface.co/onnx-community/dpt-dinov2-base-kitti

Source context: 7 downloads · 0 likes · Pipeline depth-estimation · Library transformers.js · Repo onnx-community/dpt-dinov2-base-kitti