Instructions to use ManuD/speecht5_finetuned_voxpopuli_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManuD/speecht5_finetuned_voxpopuli_de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ManuD/speecht5_finetuned_voxpopuli_de")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("ManuD/speecht5_finetuned_voxpopuli_de") model = AutoModelForTextToSpectrogram.from_pretrained("ManuD/speecht5_finetuned_voxpopuli_de") - Notebooks
- Google Colab
- Kaggle
speecht5_finetuned_voxpopuli_de / runs /Jun18_11-55-18_f27925688952 /events.out.tfevents.1687089331.f27925688952.73319.0
- Xet hash:
- e6ecf754d115a533356b5f9394c7a929f13db3c01bae1214e201096c9e050707
- Size of remote file:
- 32.2 kB
- SHA256:
- a49213bf5510443b2bdfc7d5e42a9a668d3603b8d69be3dea3339890ff197aee
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