Instructions to use kfahn/speecht5_finetuned_voxpopuli_cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kfahn/speecht5_finetuned_voxpopuli_cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="kfahn/speecht5_finetuned_voxpopuli_cs")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("kfahn/speecht5_finetuned_voxpopuli_cs") model = AutoModelForTextToSpectrogram.from_pretrained("kfahn/speecht5_finetuned_voxpopuli_cs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd016c1208d28bd3bc4b22b4cd56914a20e0f53304e5d9c385fc30231fe1d93e
- Size of remote file:
- 578 MB
- SHA256:
- 49cefe85423ce75492870db7baf4a4f0945f9882bc6bcda4c9a7a0c290be230d
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