ModelListadosExterno

Promptda Vits Hf

with ONNX weights to be compatible with Transformers.js.

Fontehuggingface.co/onnx-community/promptda_vits_hf/tree/06da7a62ff2166f358416fd5c98518354c17b460

TipoOtherModelo basedepth-anything/promptda_vits_hfVersãoRevision 06da7a6Cnota

Fonte do modelo

Tipo: Other
Tamanho do arquivo: 19,0–95,8 MB
Modelo base: depth-anything/promptda_vits_hf
Versão: vRevision 06da7a6
Atualizado: 20 de out. de 2026
Downloads: 5
Fonte: Hugging Face

Descrição da fonte

https://huggingface.co/depth-anything/promptda_vits_hf 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).

Fontes

1 fonte

Hugging FacePrimárioVersão 06da7a62ff2166f358416fd5c98518354c17b460

huggingface.co/onnx-community/promptda_vits_hf/tree/06da7a62ff2166f358416fd5c98518354c17b460

Verificado 17 de ago.

Artefatos de modelo

8 artefatos

onnx/model_bnb4.onnx

onnx · 26,2 MB · SHA-256 b3687a86d275…b34b · Hugging Face

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onnx/model_fp16.onnx

onnx · 48,1 MB · SHA-256 7737c652bfe8…3a9f · Hugging Face

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onnx/model_int8.onnx

onnx · 26,5 MB · SHA-256 7ea0061d319c…a9a6 · Hugging Face

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onnx/model_q4.onnx

onnx · 27,5 MB · SHA-256 d289da0d4280…b3d4 · Hugging Face

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onnx/model_q4f16.onnx

onnx · 19,0 MB · SHA-256 0fb3dcea9e42…6ab7 · Hugging Face

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onnx/model_quantized.onnx

onnx · 26,5 MB · SHA-256 f2262bf0c406…8d4a · Hugging Face

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onnx/model_uint8.onnx

onnx · 26,5 MB · SHA-256 f2262bf0c406…8d4a · Hugging Face

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onnx/model.onnx

onnx · 95,8 MB · SHA-256 8734997066a1…90cb · Hugging Face

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Trechos de fonte

2 trechos

Readme17 de ago.huggingface.co/onnx-community/promptda_vits_hf

--- library_name: transformers.js base_model: depth-anything/promptda_vits_hf pipeline_tag: depth-estimation --- https://huggingface.co/depth-anything/promptda_vits_hf 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 de ago.huggingface.co/onnx-community/promptda_vits_hf

Source context: 5 downloads · 0 likes · Pipeline depth-estimation · Library transformers.js · Repo onnx-community/promptda_vits_hf