Instructions to use moiralabs/GreekTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moiralabs/GreekTTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="moiralabs/GreekTTS")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moiralabs/GreekTTS", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use moiralabs/GreekTTS with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for moiralabs/GreekTTS to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for moiralabs/GreekTTS to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for moiralabs/GreekTTS to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="moiralabs/GreekTTS", max_seq_length=2048, )
- Xet hash:
- dfc992b27ed945a93de7fa126f6e3fad215933ffb94ebc28a6d72658e16a652c
- Size of remote file:
- 5.71 kB
- SHA256:
- e4cb8cb2fd9f920dba59738e24993944faad085506fdfbdc90709b216af76b15
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