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Dpt Dinov2 Small Nyu

with ONNX weights to be compatible with Transformers.js.

ArtOtherBasismodellfacebook/dpt-dinov2-small-nyuVersionRevision 9cc2848CBewertung

Modellquelle

Art
Other
Dateigröße
37,0–138 MB
Basismodell
facebook/dpt-dinov2-small-nyu
Version
vRevision 9cc2848
Aktualisiert
1. Nov. 2026
Downloads
30
Quelle
Hugging Face

Quellenbeschreibung

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

Quellen

1 Quelle
Hugging FacePrimärVersion 9cc28480d05587990dbdf9c7fb5636d0f8a683cd
huggingface.co/onnx-community/dpt-dinov2-small-nyu/tree/9cc28480d05587990dbdf9c7fb5636d0f8a683cd

Verifiziert 1. Nov.

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Repository files

File inventory only; completeness is unverified.

Modellartefakte

8 Artefakte

onnx/model_bnb4.onnx

onnx · 64,3 MB · SHA-256 ff4377d2564c…dd04 · Hugging Face

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onnx/model_fp16.onnx

onnx · FP16 (unverified) · 69,1 MB · SHA-256 15835597777b…4f4d · Hugging Face

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onnx/model_int8.onnx

onnx · INT8 (unverified) · 37,0 MB · SHA-256 f1cba3dfc456…086b · Hugging Face

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onnx/model_q4.onnx

onnx · Q4 (unverified) · 65,7 MB · SHA-256 a95eecb3ab4f…d994 · Hugging Face

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onnx/model_q4f16.onnx

onnx · 38,4 MB · SHA-256 5193a8e4d185…2fee · Hugging Face

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onnx/model_quantized.onnx

onnx · 37,0 MB · SHA-256 bd1320eec53f…7e4e · Hugging Face

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onnx/model_uint8.onnx

onnx · UINT8 (unverified) · 37,0 MB · SHA-256 bd1320eec53f…7e4e · Hugging Face

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onnx/model.onnx

onnx · 138 MB · SHA-256 99a1957fec1e…2ad4 · Hugging Face

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Quellenauszüge

3 Auszüge

--- base_model: facebook/dpt-dinov2-small-nyu library_name: transformers.js --- https://huggingface.co/facebook/dpt-dinov2-small-nyu 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: 30 downloads · 0 likes · Pipeline depth-estimation · Library transformers.js · Repo onnx-community/dpt-dinov2-small-nyu

Source context: 12 downloads · 0 likes · Pipeline depth-estimation · Library transformers.js · Repo onnx-community/dpt-dinov2-small-nyu