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.
Fonte do modelo
- Tipo
- Text model
- Tamanho do arquivo
- 418 MB
- Modelo base
- erax-ai/EraX-WoW-Turbo-V1.1
- Versão
- vdecoder_model_merged_quantized
- Atualizado
- 19 de out. de 2026
- Downloads
- 9
- Fonte
- Hugging Face
Descrição da fonte
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.onnxonnx/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.
Fontes
1 fonte
Fontes
1 fonteVerificado 19 de out.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoonnx/decoder_model_merged_quantized.onnx
onnx · 418 MB · SHA-256 8a96c021a05d…1b7d · Hugging Face
Download fileTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- 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
