ua-l/qwen2.5-0.5b-legal-uk
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UA-LAWYER
company
AI & ML interests
Natural Language Processing for Ukrainian Legal Texts
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Yehor
updated
a
model
about 24 hours ago
Yehor
published
a
model
about 24 hours ago
Yehor
updated
a
model
1 day ago
Yehor
published
a
model
1 day ago
Yehor
updated
3
models
1 day ago
Yehor
published
3
models
1 day ago
Post
1434
Published some datasets for researchers in Ukrainian NLP from my project https://ua-lawyer.com (Q&A platform in Ukraine):
Datasets:
- ua-l/topics
- ua-l/topics-train-test
- ua-l/topics-text-label
Model:
- https://huggingface.co/ua-l/topics-classifier
Space:
- ua-l/topics-classifier-demo
Datasets:
- ua-l/topics
- ua-l/topics-train-test
- ua-l/topics-text-label
Model:
- https://huggingface.co/ua-l/topics-classifier
Space:
- ua-l/topics-classifier-demo
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- 1 reply
Post
2842
Published a stable version of Ukrainian Text-to-Speech library on GitHub and PyPI.
Features:
- Multi-speaker model: 2 female (Tetiana, Lada) + 1 male (Mykyta) voices;
- Fine-grained control over speech parameters, including duration, fundamental frequency (F0), and energy;
- High-fidelity speech generation using the RAD-TTS++ acoustic model;
- Fast vocoding using Vocos;
- Synthesizes long sentences effectively;
- Supports a sampling rate of 44.1 kHz;
- Tested on Linux environments and Windows/WSL;
- Python API (requires Python 3.9 or later);
- CUDA-enabled for GPU acceleration.
Repository: https://github.com/egorsmkv/tts_uk
Features:
- Multi-speaker model: 2 female (Tetiana, Lada) + 1 male (Mykyta) voices;
- Fine-grained control over speech parameters, including duration, fundamental frequency (F0), and energy;
- High-fidelity speech generation using the RAD-TTS++ acoustic model;
- Fast vocoding using Vocos;
- Synthesizes long sentences effectively;
- Supports a sampling rate of 44.1 kHz;
- Tested on Linux environments and Windows/WSL;
- Python API (requires Python 3.9 or later);
- CUDA-enabled for GPU acceleration.
Repository: https://github.com/egorsmkv/tts_uk
Post
622
Added Advanced options to RAD-TTS++ space, so you can synthesize Ukrainian voices precisely.
Space: Yehor/radtts-uk-vocos-demo
Space: Yehor/radtts-uk-vocos-demo
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- 5 replies