Text-to-Speech
Transformers
Safetensors
Basque
arktts
feature-extraction
tts
basque
euskara
audio
audio8
fine-tuned
custom_code
Instructions to use itzune/zortzi-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itzune/zortzi-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="itzune/zortzi-tts", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("itzune/zortzi-tts", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from itzune/zortzi-tts: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/itzune/zortzi-tts/resolve/main/tokenizer.json
- Command line
-
hf download hf://itzune/zortzi-tts/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/itzune/zortzi-tts/resolve/main/tokenizer.json
12.2 MB
- Xet hash:
- ab939bfbfdde24485101aa13a1a2e24c0e3b726c521815739e99780b5d0942c3
- Size of remote file:
- 12.2 MB
- SHA256:
- f24e08099d45a8adf3f52f5f0b03276e433bb9d689bb15fcbcc48ce58744588b
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