ModelPrésentéExterne

Promptda Vits Transparent Hf

with ONNX weights to be compatible with Transformers.js.

Sourcehuggingface.co/onnx-community/promptda_vits_transparent_hf/tree/b671c85c54f44caf16416213d221610c8f7e0379

TypeOtherModèle de basedepth-anything/promptda_vits_transparent_hfVersionRevision b671c85CClasse

Source du modèle

Type: Other
Taille du fichier: 19,0–95,8 MB
Modèle de base: depth-anything/promptda_vits_transparent_hf
Version: vRevision b671c85
Mis à jour: 20 oct. 2026
Téléchargements: 8
Source: Hugging Face

Description de la source

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

Sources

1 source

Hugging FacePrincipalVersion b671c85c54f44caf16416213d221610c8f7e0379

huggingface.co/onnx-community/promptda_vits_transparent_hf/tree/b671c85c54f44caf16416213d221610c8f7e0379

Vérifié 17 août

Artefacts du modèle

8 artefacts

onnx/model_bnb4.onnx

onnx · 26,2 MB · SHA-256 e3175781ed71…9bf2 · Hugging Face

Télécharger

onnx/model_fp16.onnx

onnx · 48,1 MB · SHA-256 7f5c367ba5a4…b908 · Hugging Face

Télécharger

onnx/model_int8.onnx

onnx · 26,5 MB · SHA-256 32ccf6e9ce56…457d · Hugging Face

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onnx/model_q4.onnx

onnx · 27,5 MB · SHA-256 0eca7143550d…765a · Hugging Face

Télécharger

onnx/model_q4f16.onnx

onnx · 19,0 MB · SHA-256 4d9f100a0c81…5f65 · Hugging Face

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onnx/model_quantized.onnx

onnx · 26,5 MB · SHA-256 b313dc4e4aab…9f8a · Hugging Face

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onnx/model_uint8.onnx

onnx · 26,5 MB · SHA-256 b313dc4e4aab…9f8a · Hugging Face

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onnx/model.onnx

onnx · 95,8 MB · SHA-256 d3b0014c6b37…43a2 · Hugging Face

Télécharger

Extraits de sources

2 extraits

Readme17 aoûthuggingface.co/onnx-community/promptda_vits_transparent_hf

--- library_name: transformers.js base_model: depth-anything/promptda_vits_transparent_hf pipeline_tag: depth-estimation --- https://huggingface.co/depth-anything/promptda_vits_transparent_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 aoûthuggingface.co/onnx-community/promptda_vits_transparent_hf

Source context: 8 downloads · 0 likes · Pipeline depth-estimation · Library transformers.js · Repo onnx-community/promptda_vits_transparent_hf