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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kfahn/speecht5_finetuned_voxpopuli_cs: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/kfahn/speecht5_finetuned_voxpopuli_cs/resolve/main/training_args.bin
- Command line
-
hf download hf://kfahn/speecht5_finetuned_voxpopuli_cs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kfahn/speecht5_finetuned_voxpopuli_cs/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 278c61a42e1e1ff8fec568b360f181a3cca3dc1f6d72cd2009808315bf17a3ea
- Size of remote file:
- 4.16 kB
- SHA256:
- 848e2da8386cf5fdd649cccde9319c2b064a6d17794b44249c01f5fd085db027
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