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Browse files- README.md +3 -5
- fp16/halve.py +17 -0
- fp16/kokoro-v0_19-half.pth +3 -0
README.md
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- yl4579/StyleTTS2-LJSpeech
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pipeline_tag: text-to-speech
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---
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<audio controls><source src="https://huggingface.co/hexgrad/Kokoro-82M/resolve/main/demo/HEARME.wav" type="audio/wav"></audio>
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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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### Model Card Contact
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`@rzvzn` on Discord
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```py
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# TODO: Add Discord server
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```
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<img src="https://static0.gamerantimages.com/wordpress/wp-content/uploads/2024/08/terminator-zero-41-1.jpg" width="400" alt="kokoro" />
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- yl4579/StyleTTS2-LJSpeech
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pipeline_tag: text-to-speech
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---
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❤️ Kokoro Discord Server: https://discord.gg/QuGxSWBfQy
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<audio controls><source src="https://huggingface.co/hexgrad/Kokoro-82M/resolve/main/demo/HEARME.wav" type="audio/wav"></audio>
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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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### Model Card Contact
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`@rzvzn` on Discord. Server invite: https://discord.gg/QuGxSWBfQy
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<img src="https://static0.gamerantimages.com/wordpress/wp-content/uploads/2024/08/terminator-zero-41-1.jpg" width="400" alt="kokoro" />
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fp16/halve.py
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from hashlib import sha256
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from pathlib import Path
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import torch
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path = Path(__file__).parent.parent / 'kokoro-v0_19.pth'
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assert path.exists(), f'No model pth found at {path}'
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net = torch.load(path, map_location='cpu', weights_only=True)['net']
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for a in net:
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for b in net[a]:
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net[a][b] = net[a][b].half()
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torch.save(dict(net=net), 'kokoro-v0_19-half.pth')
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with open('kokoro-v0_19-half.pth', 'rb') as rb:
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h = sha256(rb.read()).hexdigest()
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assert h == '70cbf37f84610967f2ca72dadb95456fdd8b6c72cdd6dc7372c50f525889ff0c', h
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fp16/kokoro-v0_19-half.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:70cbf37f84610967f2ca72dadb95456fdd8b6c72cdd6dc7372c50f525889ff0c
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size 163731194
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