Instructions to use binhquoc/f5-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binhquoc/f5-tts with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CFM model = CFM.from_pretrained("binhquoc/f5-tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download test_upload.json from binhquoc/f5-tts: direct link, hf CLI and curl.
- Browser
- Download file 32 Bytes
-
https://huggingface.co/binhquoc/f5-tts/resolve/main/test_upload.json
- Command line
-
hf download hf://binhquoc/f5-tts/test_upload.json
-
curl -L -o test_upload.json https://huggingface.co/binhquoc/f5-tts/resolve/main/test_upload.json
32 Bytes
| { | |
| "new_key": "new_value" | |
| } |