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Llasa 1B Finetuned For Two Speakers
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Using dataset shb777/gemini-flash-2.0-speech for finetuning
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shb777
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LLM's , Speech 2 Speech and Synthetic Data
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HKUST-Audio/Llasa-1B-finetuned-for-two-speakers
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google/sdxl
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shb777/Granite-Vision-3.1-2B
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Update app.py
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#3 opened 10 days ago
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Apply for community grant: Personal project (gpu)
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#2 opened 12 days ago
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ZeroGPU?
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hexgrad/Kokoro-82M got an upgrade! ⬆️ More voices, more languages,
GitHub: https://github.com/hexgrad/kokoro
PyPI: https://pypi.org/project/kokoro/
Space: hexgrad/Kokoro-TTS
pip install kokoro, and still 82M parameters.GitHub: https://github.com/hexgrad/kokoro
PyPI: https://pypi.org/project/kokoro/
Space: hexgrad/Kokoro-TTS
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It looks like your config set temperature to 0 , it should be 0.6 according to Usage Recommendations
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Train 400x faster Static Embedding Models with Sentence Transformers
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[bot] Conversion to Parquet
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