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)# pip install -U transformers accelerate # 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
Download tokenizer.model from Reza2kn/gooya-v1: direct link, hf CLI and curl.
- Browser
- Download file 471 kB
-
https://huggingface.co/Reza2kn/gooya-v1/resolve/main/tokenizer.model
- Command line
-
hf download hf://Reza2kn/gooya-v1/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Reza2kn/gooya-v1/resolve/main/tokenizer.model
471 kB
- Xet hash:
- 05fc9717a81622b6de868db6d15b9193841ab60e37a560cf893c570896124c11
- Size of remote file:
- 471 kB
- SHA256:
- c353ee1479b536bf414c1b247f5542b6607fb8ae91320e5af1781fee200fddff
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