Instructions to use mmcgovern574/speecht5_finetuned_voxpopuli_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmcgovern574/speecht5_finetuned_voxpopuli_nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="mmcgovern574/speecht5_finetuned_voxpopuli_nl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("mmcgovern574/speecht5_finetuned_voxpopuli_nl") model = AutoModelForTextToSpectrogram.from_pretrained("mmcgovern574/speecht5_finetuned_voxpopuli_nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mmcgovern574/speecht5_finetuned_voxpopuli_nl: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/mmcgovern574/speecht5_finetuned_voxpopuli_nl/resolve/main/training_args.bin
- Command line
-
hf download hf://mmcgovern574/speecht5_finetuned_voxpopuli_nl/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mmcgovern574/speecht5_finetuned_voxpopuli_nl/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 15be0301b0e443a70f72c5e0e7ef3d9c63fc1484ab269b60d0793a5432020b34
- Size of remote file:
- 4.79 kB
- SHA256:
- 308a0bc3c8f0d11302899a77cc5dea5d0e43f1d472ce878ecd5ed742468fe736
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