Instructions to use Salama1429/TTS_German_Speecht5_finetuned_voxpopuli_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salama1429/TTS_German_Speecht5_finetuned_voxpopuli_nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Salama1429/TTS_German_Speecht5_finetuned_voxpopuli_nl")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Salama1429/TTS_German_Speecht5_finetuned_voxpopuli_nl") model = AutoModelForTextToSpectrogram.from_pretrained("Salama1429/TTS_German_Speecht5_finetuned_voxpopuli_nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Salama1429/TTS_German_Speecht5_finetuned_voxpopuli_nl: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/Salama1429/TTS_German_Speecht5_finetuned_voxpopuli_nl/resolve/main/added_tokens.json
- Command line
-
hf download hf://Salama1429/TTS_German_Speecht5_finetuned_voxpopuli_nl/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Salama1429/TTS_German_Speecht5_finetuned_voxpopuli_nl/resolve/main/added_tokens.json
40 Bytes
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