Respair / RyuseiNet

huggingface.co
Total runs: 50
24-hour runs: 0
7-day runs: 1
30-day runs: 40
Model's Last Updated: October 07 2025

Introduction of RyuseiNet

Model Details of RyuseiNet

Speaker Verification model trained on Japanese data.

Install

pip install nemo_toolkit['all']

Inference

import nemo.collections.asr as nemo_asr
speaker_model = nemo_asr.models.EncDecSpeakerLabelModel.from_pretrained("Respair/RyuseiNet")
emb = speaker_model.get_embedding("audio.wav") # speaker embedding
# or
speaker_model.verify_speakers("audio_1.wav","audio_2.wav")

Architecture

Nvidia's Titanet Large

Data

800 ~ 1000 hours

Compute

GH200

Runs of Respair RyuseiNet on huggingface.co

50
Total runs
0
24-hour runs
-1
3-day runs
1
7-day runs
40
30-day runs

More Information About RyuseiNet huggingface.co Model

More RyuseiNet license Visit here:

https://choosealicense.com/licenses/cc-by-4.0

RyuseiNet huggingface.co

RyuseiNet huggingface.co is an AI model on huggingface.co that provides RyuseiNet's model effect (), which can be used instantly with this Respair RyuseiNet model. huggingface.co supports a free trial of the RyuseiNet model, and also provides paid use of the RyuseiNet. Support call RyuseiNet model through api, including Node.js, Python, http.

RyuseiNet huggingface.co Url

https://huggingface.co/Respair/RyuseiNet

Respair RyuseiNet online free

RyuseiNet huggingface.co is an online trial and call api platform, which integrates RyuseiNet's modeling effects, including api services, and provides a free online trial of RyuseiNet, you can try RyuseiNet online for free by clicking the link below.

Respair RyuseiNet online free url in huggingface.co:

https://huggingface.co/Respair/RyuseiNet

RyuseiNet install

RyuseiNet is an open source model from GitHub that offers a free installation service, and any user can find RyuseiNet on GitHub to install. At the same time, huggingface.co provides the effect of RyuseiNet install, users can directly use RyuseiNet installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

RyuseiNet install url in huggingface.co:

https://huggingface.co/Respair/RyuseiNet

Url of RyuseiNet

RyuseiNet huggingface.co Url

Provider of RyuseiNet huggingface.co

Respair
ORGANIZATIONS

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