Instructions to use mihael974/speecht5_finetuned_voxpopuli_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mihael974/speecht5_finetuned_voxpopuli_nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="mihael974/speecht5_finetuned_voxpopuli_nl")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("mihael974/speecht5_finetuned_voxpopuli_nl") model = AutoModelForTextToSpectrogram.from_pretrained("mihael974/speecht5_finetuned_voxpopuli_nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc8ad3b3f527cc1155ce3f59bb2b4b1e27e95dc28fc320ba941667cf701d19fc
- Size of remote file:
- 4.79 kB
- SHA256:
- ce6937d49a331f1e2614bb69b04c45f3f69d4cea423f4e03581e72a34ee29e51
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