ONNX Model Zoo

Kasparasman/RVC

By Kasparasman · ↓ 0 · ♥ 0 · Updated 2025-03-18

What's in this repo

This page lists the files in Kasparasman/RVC, including argos.onnx.

  • 1 ONNX models (.onnx files)
  • 6 files, including 1 .md, 1 .index, 1 .onnx, 1 .pth, 1 .zip
  • Last updated 2025-03-18

ONNX files

File Size Download
argos.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

Model Card for Model ID

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

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  • Language(s) (NLP): [More Information Needed]
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  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

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Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters
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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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Model info

onnx arxiv:1910.09700 region:us
↓ 0 ♥ 0

Created: 2025-03-06

Updated: 2025-03-18

View on Hugging Face

Files (6)

.gitattributes
README.md
added_IVF584_Flat_nprobe_1_argos_1_v2.index
argos.onnx ONNX
argos.pth
pytorch_model.zip

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