NeuML/ljspeech-jets-onnx

text-to-speech model by NeuML

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imdanboy/jets exported to ONNX. This model is an ONNX export using the espnetonnx library. txtai has a built in Text to Speech (TTS) pipeline that makes using this model easy. This model can also be run directly with ONNX provided the input text is tokenized. Tokenization can be done with ttstokenizer. Note…

NeuML/ljspeech-jets-onnx on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-02T06:47:29.444Z

Inside the original model card — Document outline
  1. ESPnet JETS Text-to-Speech (TTS) Model for ONNX
  2. Usage with txtai
  3. Usage with ONNX
  4. How to export

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

NeuML/ljspeech-jets-onnx is a text-to-speech model repository published by NeuML on Hugging Face. The source reports the txtai library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-speech
Library
txtai
Recent downloads (30 days)
10,050
Cumulative likes
24
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2022-11-29T12:51:31.000Z
Last modified
2024-10-10T15:00:03.000Z

Compatibility and lineage

Reported languages: en

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:32.603Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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