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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: transformers.js
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+ language:
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+ - en
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+ base_model:
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+ - hexgrad/Kokoro-82M
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+ pipeline_tag: text-to-speech
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+ ---
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+
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+ # Kokoro TTS
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+
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+ Kokoro is a frontier TTS model for its size of 82 million parameters (text in/audio out).
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+
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+ ## Table of contents
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+
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+ - [Usage](#usage)
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+ - [JavaScript](#javascript)
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+ - [Python](#python)
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+ - [Voices/Samples](#voicessamples)
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+ - [Quantizations](#quantizations)
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+
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+
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+ ## Usage
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+
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+ ### JavaScript
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+
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+ First, install the `kokoro-js` library from [NPM](https://npmjs.com/package/kokoro-js) using:
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+ ```bash
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+ npm i kokoro-js
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+ ```
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+
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+ You can then generate speech as follows:
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+
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+ ```js
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+ import { KokoroTTS } from "kokoro-js";
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+
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+ const model_id = "onnx-community/Kokoro-82M-ONNX";
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+ const tts = await KokoroTTS.from_pretrained(model_id, {
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+ dtype: "q8", // Options: "fp32", "fp16", "q8", "q4", "q4f16"
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+ });
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+
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+ const text = "Life is like a box of chocolates. You never know what you're gonna get.";
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+ const audio = await tts.generate(text, {
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+ // Use `tts.list_voices()` to list all available voices
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+ voice: "af_bella",
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+ });
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+ audio.save("audio.wav");
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+ ```
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+
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+
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+ ### Python
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+
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+ ```python
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+ import os
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+ import numpy as np
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+ from onnxruntime import InferenceSession
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+
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+ # You can generate token ids as follows:
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+ # 1. Convert input text to phonemes using https://github.com/hexgrad/misaki
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+ # 2. Map phonemes to ids using https://huggingface.co/hexgrad/Kokoro-82M/blob/785407d1adfa7ae8fbef8ffd85f34ca127da3039/config.json#L34-L148
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+ tokens = [50, 157, 43, 135, 16, 53, 135, 46, 16, 43, 102, 16, 56, 156, 57, 135, 6, 16, 102, 62, 61, 16, 70, 56, 16, 138, 56, 156, 72, 56, 61, 85, 123, 83, 44, 83, 54, 16, 53, 65, 156, 86, 61, 62, 131, 83, 56, 4, 16, 54, 156, 43, 102, 53, 16, 156, 72, 61, 53, 102, 112, 16, 70, 56, 16, 138, 56, 44, 156, 76, 158, 123, 56, 16, 62, 131, 156, 43, 102, 54, 46, 16, 102, 48, 16, 81, 47, 102, 54, 16, 54, 156, 51, 158, 46, 16, 70, 16, 92, 156, 135, 46, 16, 54, 156, 43, 102, 48, 4, 16, 81, 47, 102, 16, 50, 156, 72, 64, 83, 56, 62, 16, 156, 51, 158, 64, 83, 56, 16, 44, 157, 102, 56, 16, 44, 156, 76, 158, 123, 56, 4]
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+
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+ # Context length is 512, but leave room for the pad token 0 at the start & end
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+ assert len(tokens) <= 510, len(tokens)
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+
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+ # Style vector based on len(tokens), ref_s has shape (1, 256)
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+ voices = np.fromfile('./voices/af.bin', dtype=np.float32).reshape(-1, 1, 256)
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+ ref_s = voices[len(tokens)]
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+
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+ # Add the pad ids, and reshape tokens, should now have shape (1, <=512)
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+ tokens = [[0, *tokens, 0]]
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+
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+ model_name = 'model.onnx' # Options: model.onnx, model_fp16.onnx, model_quantized.onnx, model_q8f16.onnx, model_uint8.onnx, model_uint8f16.onnx, model_q4.onnx, model_q4f16.onnx
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+ sess = InferenceSession(os.path.join('onnx', model_name))
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+
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+ audio = sess.run(None, dict(
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+ input_ids=tokens,
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+ style=ref_s,
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+ speed=np.ones(1, dtype=np.float32),
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+ ))[0]
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+ ```
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+
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+ Optionally, save the audio to a file:
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+ ```py
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+ import scipy.io.wavfile as wavfile
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+ wavfile.write('audio.wav', 24000, audio[0])
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+ ```
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+
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+
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+ ## Voices/Samples
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+
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+
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+ > Life is like a box of chocolates. You never know what you're gonna get.
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+
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+
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+ | Name | Nationality | Gender | Sample |
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+ | ------------ | ----------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------- |
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+ | **af_heart** | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/S_9tkA75BT_QHKOzSX6S-.wav"></audio> |
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+ | af_alloy | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/wiZ3gvlL--p5pRItO4YRE.wav"></audio> |
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+ | af_aoede | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/Nv1xMwzjTdF9MR8v0oEEJ.wav"></audio> |
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+ | af_bella | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/sWN0rnKU6TlLsVdGqRktF.wav"></audio> |
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+ | af_jessica | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/2Oa4wITWAmiCXJ_Q97-7R.wav"></audio> |
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+ | af_kore | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/AOIgyspzZWDGpn7oQgwtu.wav"></audio> |
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+ | af_nicole | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/EY_V2OGr-hzmtTGrTCTyf.wav"></audio> |
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+ | af_nova | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/X-xdEkx3GPlQG5DK8Gsqd.wav"></audio> |
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+ | af_river | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/ZqaV2-xGUZdBQmZAF1Xqy.wav"></audio> |
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+ | af_sarah | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/xzoJBl1HCvkE8Fl8Xu2R4.wav"></audio> |
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+ | af_sky | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/ubebYQoaseyQk-jDLeWX7.wav"></audio> |
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+ | am_adam | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/tvauhDVRGvGK98I-4wv3H.wav"></audio> |
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+ | am_echo | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/qy_KuUB0hXsu-u8XaJJ_Z.wav"></audio> |
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+ | am_eric | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/JhqPjbpMhraUv5nTSPpwD.wav"></audio> |
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+ | am_fenrir | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/c0R9caBdBiNjGUUalI_DQ.wav"></audio> |
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+ | am_liam | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/DFHvulaLeOjXIDKecvNG3.wav"></audio> |
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+ | am_michael | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/IPKhsnjq1tPh3JmHH8nEg.wav"></audio> |
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+ | am_onyx | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/ov0pFDfE8NNKZ80LqW6Di.wav"></audio> |
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+ | am_puck | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/MOC654sLMHWI64g8HWesV.wav"></audio> |
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+ | am_santa | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/LzA6JmHBvQlhOviy8qVfJ.wav"></audio> |
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+ | bf_alice | British | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/9mnYZ3JWq7f6U12plXilA.wav"></audio> |
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+ | bf_emma | British | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/_fvGtKMttRI0cZVGqxMh8.wav"></audio> |
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+ | bf_isabella | British | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/VzlcJpqGEND_Q3duYnhiu.wav"></audio> |
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+ | bf_lily | British | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/qZCoartohiRlVamY8Xpok.wav"></audio> |
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+ | bm_daniel | British | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/Eb0TLnLXHDRYOA3TJQKq3.wav"></audio> |
124
+ | bm_fable | British | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/NT9XkmvlezQ0FJ6Th5hoZ.wav"></audio> |
125
+ | bm_george | British | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/y6VJbCESszLZGupPoqNkF.wav"></audio> |
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+ | bm_lewis | British | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/RlB5BRvLt-IFvTjzQNxCh.wav"></audio> |
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+
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+
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+ ## Quantizations
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+
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+ The model is resilient to quantization, enabling efficient high-quality speech synthesis at a fraction of the original model size.
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+
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+ > How could I know? It's an unanswerable question. Like asking an unborn child if they'll lead a good life. They haven't even been born.
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+
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+
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+ | Model | Size (MB) | Sample |
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+ |------------------------------------------------|-----------|-----------------------------------------------------------------------------------------------------------------------------------------|
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+ | model.onnx (fp32) | 326 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/njexBuqPzfYUvWgs9eQ-_.wav"></audio> |
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+ | model_fp16.onnx (fp16) | 163 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/8Ebl44hMQonZs4MlykExt.wav"></audio> |
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+ | model_quantized.onnx (8-bit) | 92.4 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/9SLOt6ETclZ4yRdlJ0VIj.wav"></audio> |
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+ | model_q8f16.onnx (Mixed precision) | 86 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/gNDMqb33YEmYMbAIv_Grx.wav"></audio> |
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+ | model_uint8.onnx (8-bit & mixed precision) | 177 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/tpOWRHIWwEb0PJX46dCWQ.wav"></audio> |
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+ | model_uint8f16.onnx (Mixed precision) | 114 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/vtZhABzjP0pvGD7dRb5Vr.wav"></audio> |
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+ | model_q4.onnx (4-bit matmul) | 305 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/8FVn0IJIUfccEBWq8Fnw_.wav"></audio> |
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+ | model_q4f16.onnx (4-bit matmul & fp16 weights) | 154 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/7DrgWC_1q00s-wUJuG44X.wav"></audio> |
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