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)# 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
- Xet hash:
- 19fb75433d777a145db9a19368826ed88cd82ca183faeb2fc14e41bdcd09c2c2
- Size of remote file:
- 1.35 GB
- SHA256:
- c310505aa11fe2f6cc63b8d3130dc7e77e73227774f5c62575769b1f47a8d048
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