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EraX WoW Turbo V1.1 ONNX

Browser-ready ONNX Q8 export of erax-ai/EraX-WoW-Turbo-V1.1, the Transformers checkpoint corresponding to erax-ai/EraX-WoW-Turbo-V1.1-CT2.

TypeText modelModèle de baseerax-ai/EraX-WoW-Turbo-V1.1VersionBClasse

Source du modèle

Type
Text model
Taille du fichier
418 MB
Modèle de base
erax-ai/EraX-WoW-Turbo-V1.1
Version
vdecoder_model_merged_quantized
Mis à jour
19 oct. 2026
Téléchargements
9
Source
Hugging Face

Description de la source

EraX WoW Turbo V1.1 — Transformers.js ONNX Q8

Browser-ready ONNX Q8 export of erax-ai/EraX-WoW-Turbo-V1.1, the Transformers checkpoint corresponding to erax-ai/EraX-WoW-Turbo-V1.1-CT2.

The repository contains the two graphs used by Transformers.js for Whisper sequence-to-sequence generation:

  • onnx/encoder_model_quantized.onnx
  • onnx/decoder_model_merged_quantized.onnx

It also includes the original tokenizer, generation configuration, feature extractor configuration, and Vietnamese normalizer assets.

Browser usage

import { pipeline } from '@huggingface/transformers';

const transcriber = await pipeline(
  'automatic-speech-recognition',
  'galamkhoahoc/EraX-WoW-Turbo-V1.1-ONNX',
  {
    device: 'wasm',
    dtype: {
      encoder_model: 'q8',
      decoder_model_merged: 'q8',
    },
  },
);

const result = await transcriber(audio16k, {
  language: 'vi',
  task: 'transcribe',
});

Model files are downloaded on first use and can be reused through the browser Cache API. Audio inference runs locally in the user's Web Worker and does not need to be sent to an application backend.

Export details

  • Transformers.js converter: 3.8.1
  • Transformers: 4.49.0
  • PyTorch exporter: 2.6.0
  • ONNX Runtime quantization: Q8
  • Audio input: mono 16 kHz

The generated ONNX graphs passed onnx.checker.check_model(..., full_check=True) before upload.

Sources

1 source
Hugging FacePrincipalVersion 9f6a17dd2de6ca0ab33a3f41c608cded527f106f
huggingface.co/galamkhoahoc/EraX-WoW-Turbo-V1.1-ONNX/tree/9f6a17dd2de6ca0ab33a3f41c608cded527f106f

Vérifié 19 oct.

Artefacts du modèle

1 artefact

onnx/decoder_model_merged_quantized.onnx

onnx · 418 MB · SHA-256 8a96c021a05d…1b7d · Hugging Face

Download file

Extraits de sources

3 extraits

--- license: mit language: - vi pipeline_tag: automatic-speech-recognition library_name: transformers.js base_model: erax-ai/EraX-WoW-Turbo-V1.1 tags: - whisper - transformers.js - onnx - quantized - webgpu - wasm --- # EraX WoW Turbo V1.1 — Transformers.js ONNX Q8 Browser-ready ONNX Q8 export of [`erax-ai/EraX-WoW-Turbo-V1.1`](https://huggingface.co/erax-ai/EraX-WoW-Turbo-V1.1), the Transformers checkpoint corresponding to [`erax-ai/EraX-WoW-Turbo-V1.1-CT2`](https://huggingface.co/erax-ai/EraX-WoW-Turbo-V1.1-CT2). The repository contains the two graphs used by Transformers.js for Whisper sequence-to-sequence generation: - `onnx/encoder_model_quantized.onnx` - `onnx/decoder_model_merged_quantized.onnx` It also includes the original tokenizer, generation configuration, feature extractor configuration, and Vietnamese normalizer assets. ## Browser usage ```javascript import { pipeline } from '@huggingface/transformers'; const transcriber = await pipeline( 'automatic-speech-recognition', 'galamkhoahoc/EraX-WoW-Turbo-V1.1-ONNX', { device: 'wasm', dtype: { encoder_model: 'q8', decoder_model_merged: 'q8', }, }, ); const result = await transcriber(audio16k, { language: 'vi', task: 'transcribe', }); ``` Model files are downloaded on first use and can be reused through the browser Cache API. Audio inference runs locally in the user's Web Worker and does not need to be sent to an application backend. ## Export details - Transformers.js converter: `3.8.1` - Transformers: `4.49.0` - PyTorch exporter: `2.6.0` - ONNX Runtime quantization: Q8 - Audio input: mono 16 kHz The generated ONNX graphs passed `onnx.checker.check_model(..., full_check=True)` before upload.

Source context: 9 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers.js · Repo galamkhoahoc/EraX-WoW-Turbo-V1.1-ONNX

Source context: 31 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers.js · Repo galamkhoahoc/EraX-WoW-Turbo-V1.1-ONNX