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README.md

@@ -1,3 +1,124 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+library_name: transformers.js
+language:
+- en
+base_model:
+- hexgrad/Kokoro-82M
+pipeline_tag: text-to-speech
+---
+
+# Kokoro TTS
+
+Kokoro is a frontier TTS model for its size of 82 million parameters (text in/audio out).
+
+## Table of contents
+
+- [Samples](#samples)
+- [Usage](#usage)
+  - [JavaScript](#javascript)
+  - [Python](#python)
+- [Quantizations](#quantizations)
+
+## Samples
+
+
+> Life is like a box of chocolates. You never know what you're gonna get.
+
+
+| Voice                    | Nationality | Gender | Sample                                                                                                                                  |
+|--------------------------|-------------|--------|-----------------------------------------------------------------------------------------------------------------------------------------|
+| Default (`af`)           | American    | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/C0_ZUcNSAxvMwpS8QbnKv.wav"></audio> |
+| Bella (`af_bella`)       | American    | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/B_q15Z_FXdgBP9-Hk9oKq.wav"></audio> |
+| Nicole (`af_nicole`)     | American    | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/sS8U5lQHkhgX7rwTmy-5w.wav"></audio> |
+| Sarah (`af_sarah`)       | American    | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/SokkBiqEqwxLLx_pqvf1p.wav"></audio> |
+| Sky (`af_sky`)           | American    | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/IzySGHUtl5mYeFxx1oaRf.wav"></audio> |
+| Adam (`am_adam`)         | American    | Male   | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/9n6myE6--ZsEuF5xDv5eC.wav"></audio> |
+| Michael (`am_michael`)   | American    | Male   | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/EPFciGtTU1YUXu8MAw7DX.wav"></audio> |
+| Emma (`bf_emma`)         | British     | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/AGEsXs-gyJq3dsyo7PjHo.wav"></audio> |
+| Isabella (`bf_isabella`) | British     | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/JEzrrXYJSDcmlEzI7tE0c.wav"></audio> |
+| George (`bm_george`)     | British     | Male   | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/nsv4zKB4MX2TvXRxv504k.wav"></audio> |
+| Lewis (`bm_lewis`)       | British     | Male   | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/g_mcBl2xTbQl0sbrpZt48.wav"></audio> |
+
+
+## Usage
+
+### JavaScript
+
+First, install the `kokoro-js` library from [NPM](https://npmjs.com/package/kokoro-js) using:
+```bash
+npm i kokoro-js
+```
+
+You can then generate speech as follows:
+
+```js
+import { KokoroTTS } from "kokoro-js";
+
+const model_id = "onnx-community/Kokoro-82M-ONNX";
+const tts = await KokoroTTS.from_pretrained(model_id, {
+  dtype: "q8", // Options: "fp32", "fp16", "q8", "q4", "q4f16"
+});
+
+const text = "Life is like a box of chocolates. You never know what you're gonna get.";
+const audio = await tts.generate(text, {
+  // Use `tts.list_voices()` to list all available voices
+  voice: "af_bella",
+});
+audio.save("audio.wav");
+```
+
+
+### Python
+
+```python
+import os
+import numpy as np
+from onnxruntime import InferenceSession
+
+# Tokens produced by phonemize() and tokenize() in kokoro.py
+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]
+
+# Context length is 512, but leave room for the pad token 0 at the start & end
+assert len(tokens) <= 510, len(tokens)
+
+# Style vector based on len(tokens), ref_s has shape (1, 256)
+voices = np.fromfile('./voices/af.bin', dtype=np.float32).reshape(-1, 1, 256)
+ref_s = voices[len(tokens)]
+
+# Add the pad ids, and reshape tokens, should now have shape (1, <=512)
+tokens = [[0, *tokens, 0]]
+
+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
+sess = InferenceSession(os.path.join('onnx', model_name))
+
+audio = sess.run(None, dict(
+    input_ids=tokens,
+    style=ref_s,
+    speed=np.ones(1, dtype=np.float32),
+))[0]
+```
+
+Optionally, save the audio to a file:
+```
+import scipy.io.wavfile as wavfile
+wavfile.write('audio.wav', 24000, audio[0])
+```
+
+## Quantizations
+
+The model is resilient to quantization, enabling efficient high-quality speech synthesis at a fraction of the original model size. 
+
+> 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.
+
+
+| Model                                          | Size (MB) | Sample                                                                                                                                  |
+|------------------------------------------------|-----------|-----------------------------------------------------------------------------------------------------------------------------------------|
+| model.onnx (fp32)                              | 326       | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/njexBuqPzfYUvWgs9eQ-_.wav"></audio> |
+| model_fp16.onnx (fp16)                         | 163       | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/8Ebl44hMQonZs4MlykExt.wav"></audio> |
+| model_quantized.onnx (8-bit)                   | 92.4      | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/9SLOt6ETclZ4yRdlJ0VIj.wav"></audio> |
+| model_q8f16.onnx (Mixed precision)             | 86        | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/gNDMqb33YEmYMbAIv_Grx.wav"></audio> |
+| model_uint8.onnx (8-bit & mixed precision)     | 177       | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/tpOWRHIWwEb0PJX46dCWQ.wav"></audio> |
+| model_uint8f16.onnx (Mixed precision)          | 114       | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/vtZhABzjP0pvGD7dRb5Vr.wav"></audio> |
+| model_q4.onnx (4-bit matmul)                   | 305       | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/8FVn0IJIUfccEBWq8Fnw_.wav"></audio> |
+| 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> |

config.json

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