Instructions to use Reza2kn/gooya-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Reza2kn/gooya-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Reza2kn/gooya-v1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Reza2kn/gooya-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e983f34a8eec74a2c4515797aaaa73f31f8aaff1550d881be553f99e076ab33
- Size of remote file:
- 285 MB
- SHA256:
- 9ed3888926c8ad2ba91b6028e1cfecdc077d8219ac73978b0a00516ce3e0a032
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