Instructions to use Mohsen21/Youtube3kTTSModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohsen21/Youtube3kTTSModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Mohsen21/Youtube3kTTSModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Mohsen21/Youtube3kTTSModel") model = AutoModelForTextToSpectrogram.from_pretrained("Mohsen21/Youtube3kTTSModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mohsen21/Youtube3kTTSModel: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Mohsen21/Youtube3kTTSModel/resolve/main/training_args.bin
- Command line
-
hf download hf://Mohsen21/Youtube3kTTSModel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mohsen21/Youtube3kTTSModel/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 77f477b4038ec6269e2dba6d244786d0e419759e01c285a3dde9128684105c2a
- Size of remote file:
- 5.37 kB
- SHA256:
- ef78855e99e835605b1d484e7ec6c89218ac191b5bac145380b4d31d0fd05cab
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