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inference4j/wav2vec2-base-960h

sourceHugging Facemitupdated 7mo agoView on Hugging Face

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Wav2Vec2 Base 960h — ONNX

ONNX export of wav2vec2-base-960h, a Wav2Vec2 model fine-tuned on 960 hours of LibriSpeech for automatic speech recognition using CTC decoding.

Mirrored for use with inference4j, an inference-only AI library for Java.

Original Source

—Repository: Xenova (originally facebook/wav2vec2-base-960h)
—License: mit

Usage with inference4j

java

try (Wav2Vec2 model = Wav2Vec2.fromPretrained("models/wav2vec2-base-960h")) {
    Transcription result = model.transcribe(Path.of("audio.wav"));
    System.out.println(result.text());
}

Model Details

Property	Value
Architecture	Wav2Vec2 Base (12 transformer layers)
Task	Automatic speech recognition (CTC decoding)
Training data	LibriSpeech 960h
Input	16kHz mono audio (float32 waveform)
Output	CTC logits → greedy-decoded text
Original framework	PyTorch (HuggingFace Transformers)
ONNX export	By Xenova (Transformers.js)

License

This model is licensed under the MIT License. Original model by Facebook AI, ONNX export by Xenova.