Text-to-Speech
Transformers
Safetensors
Turkish
English
Chinese
breeze
text-generation
tts
breeze-tts-2
turkish
code-switching
zero-shot-voice-cloning
voice-design
yesilcam
dual-ar
mimi
dpo
wise-ft
kdho
Eval Results (legacy)
Instructions to use ersanbil/Breeze-TTS-2-Turkish-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ersanbil/Breeze-TTS-2-Turkish-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ersanbil/Breeze-TTS-2-Turkish-Base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("ersanbil/Breeze-TTS-2-Turkish-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
5 days ago
-
v3.0: weights, pipeline reports, bundled code, model card (v2.0 at tag v2.0)
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