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Xenova
/
wav2vec2-base-960h

Automatic Speech Recognition
Transformers.js
ONNX
wav2vec2
Model card Files Files and versions
xet
Community
3

Instructions to use Xenova/wav2vec2-base-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers.js

    How to use Xenova/wav2vec2-base-960h with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('automatic-speech-recognition', 'Xenova/wav2vec2-base-960h');
wav2vec2-base-960h
1.09 GB
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  • 2 contributors
History: 13 commits
Xenova's picture
Xenova HF Staff
whitphx's picture
whitphx
Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#3)
a19f851 verified 10 months ago
  • onnx
    Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#3) 10 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.37 kB
    Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#3) 10 months ago
  • config.json
    2.09 kB
    Upload folder using huggingface_hub almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    Upload folder using huggingface_hub almost 3 years ago
  • quantize_config.json
    2.75 kB
    Update quantize_config.json about 2 years ago
  • special_tokens_map.json
    96 Bytes
    Upload folder using huggingface_hub almost 3 years ago
  • tokenizer.json
    2.19 kB
    Update tokenizer.json over 2 years ago
  • tokenizer_config.json
    442 Bytes
    Upload folder using huggingface_hub almost 3 years ago
  • vocab.json
    358 Bytes
    Upload folder using huggingface_hub almost 3 years ago