Instructions to use SPRINGLab/SPRING_F5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SPRINGLab/SPRING_F5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="SPRINGLab/SPRING_F5", trust_remote_code=True)# Load model directly from transformers import SPRING_F5 model = SPRING_F5.from_pretrained("SPRINGLab/SPRING_F5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download examples/codemix_te.wav from SPRINGLab/SPRING_F5: direct link, hf CLI and curl.
- Browser
- Download file 1.08 MB
-
https://huggingface.co/SPRINGLab/SPRING_F5/resolve/main/examples/codemix_te.wav
- Command line
-
hf download hf://SPRINGLab/SPRING_F5/examples/codemix_te.wav
-
curl -L -o codemix_te.wav https://huggingface.co/SPRINGLab/SPRING_F5/resolve/main/examples/codemix_te.wav
1.08 MB
- Xet hash:
- af6567a73acd2a41d52187ef59089dc00c23918adb2dd7f9f78fb138da75c6ef
- Size of remote file:
- 1.08 MB
- SHA256:
- 7ee2c25eb01ac508b2916e984294c7ff29c0252cbd4fe3c76f96529300ac61ca
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