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Dpt Dinov2 Small Kitti

with ONNX weights to be compatible with Transformers.js.

TypeOtherModèle de basefacebook/dpt-dinov2-small-kittiVersionRevision 6388835BClasse

Source du modèle

Type
Other
Taille du fichier
37,0–138 MB
Modèle de base
facebook/dpt-dinov2-small-kitti
Version
vRevision 6388835
Mis à jour
1 nov. 2026
Téléchargements
29
Source
Hugging Face

Description de la source

https://huggingface.co/facebook/dpt-dinov2-small-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).

Sources

1 source
Hugging FacePrincipalVersion 6388835b25de07a8844c84a4a4e41956d4e5f145
huggingface.co/onnx-community/dpt-dinov2-small-kitti/tree/6388835b25de07a8844c84a4a4e41956d4e5f145

Vérifié 1 nov.

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Repository files

File inventory only; completeness is unverified.

Artefacts du modèle

8 artefacts

onnx/model_bnb4.onnx

onnx · 64,3 MB · SHA-256 1a9b5e8449d0…1331 · Hugging Face

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onnx/model_fp16.onnx

onnx · FP16 (unverified) · 69,1 MB · SHA-256 cbffa6bbe915…4117 · Hugging Face

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onnx/model_int8.onnx

onnx · INT8 (unverified) · 37,0 MB · SHA-256 8b3b316aaa9b…1bd8 · Hugging Face

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onnx/model_q4.onnx

onnx · Q4 (unverified) · 65,7 MB · SHA-256 74d05b6d1928…8694 · Hugging Face

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onnx/model_q4f16.onnx

onnx · 38,4 MB · SHA-256 1493274cdb16…23e0 · Hugging Face

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onnx/model_quantized.onnx

onnx · 37,0 MB · SHA-256 24ba3051fcc6…528b · Hugging Face

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onnx/model_uint8.onnx

onnx · UINT8 (unverified) · 37,0 MB · SHA-256 24ba3051fcc6…528b · Hugging Face

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onnx/model.onnx

onnx · 138 MB · SHA-256 f5db8fe46865…6de8 · Hugging Face

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Extraits de sources

3 extraits

--- base_model: facebook/dpt-dinov2-small-kitti library_name: transformers.js --- https://huggingface.co/facebook/dpt-dinov2-small-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`).

Source context: 29 downloads · 69 likes · Pipeline depth-estimation · Library transformers.js · Repo onnx-community/dpt-dinov2-small-kitti

Source context: 12 downloads · 69 likes · Pipeline depth-estimation · Library transformers.js · Repo onnx-community/dpt-dinov2-small-kitti