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@@ -18,6 +18,17 @@ We introduce a new discretized audio tokenizer that runs at just **25 frames per
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  <img src="./higgs_audio_tokenizer_architecture.png" alt="Architecture diagram of the Higgs Audio Tokenizer" width=900>
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  </p>
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  ## Basics of Audio Quantization
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  An audio signal sampled at \\(f_s\\) Hz is first split into frames by an encoder with hop size \\(M\\), giving a frame rate \\(f_r = \frac{f_s}{M}\quad\text{(frames/s)}.\\)
 
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  <img src="./higgs_audio_tokenizer_architecture.png" alt="Architecture diagram of the Higgs Audio Tokenizer" width=900>
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  </p>
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+ ## Usage
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+
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+ ### Transformers 🤗
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+ Higgs Audio V2 Tokenizer is supported natively in `transformers`: [see the doc](https://huggingface.co/docs/transformers/en/model_doc/higgs_audio_v2_tokenizer).
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+ ```bash
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+ uv pip install "transformers>=5.3.0"
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+ ```
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  ## Basics of Audio Quantization
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  An audio signal sampled at \\(f_s\\) Hz is first split into frames by an encoder with hop size \\(M\\), giving a frame rate \\(f_r = \frac{f_s}{M}\quad\text{(frames/s)}.\\)