Text-to-Speech
Transformers
PyTorch
TensorBoard
Safetensors
English
speecht5
text-to-audio
Generated from Trainer
Instructions to use Avitas8485/speecht5_tts_commonvoice_en_06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Avitas8485/speecht5_tts_commonvoice_en_06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Avitas8485/speecht5_tts_commonvoice_en_06")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Avitas8485/speecht5_tts_commonvoice_en_06") model = AutoModelForTextToSpectrogram.from_pretrained("Avitas8485/speecht5_tts_commonvoice_en_06", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Avitas8485/speecht5_tts_commonvoice_en_06: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/Avitas8485/speecht5_tts_commonvoice_en_06/resolve/92c59162342a503737193f8829e032719f7e59c5/training_args.bin
- Command line
-
hf download hf://Avitas8485/speecht5_tts_commonvoice_en_06@92c59162342a503737193f8829e032719f7e59c5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Avitas8485/speecht5_tts_commonvoice_en_06/resolve/92c59162342a503737193f8829e032719f7e59c5/training_args.bin
4.16 kB
- Xet hash:
- 498d30bcadf1df523830ea3e47915a2641065b574eff08cf3c58b5f1925e1fac
- Size of remote file:
- 4.16 kB
- SHA256:
- f011a9c5b58b1cd6d91a5efe169ccb5fc71ed3a25e31078157c7dd7f87d3a1e3
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