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
| from setuptools import setup, find_packages | |
| setup( | |
| name="f5_tts", | |
| version="0.1.0", | |
| author="Adarsh", | |
| author_email="Adarsh", | |
| description="SPRING_F5: Fine-tuned F5-TTS for 23 Indian Languages & English", | |
| long_description=open("README.md", "r", encoding="utf-8").read(), | |
| long_description_content_type="text/markdown", | |
| url="https://github.com/ArigalaAdarsh/SPRING_F5", | |
| packages=find_packages(include=["f5_tts", "f5_tts.*"]), | |
| install_requires=[ | |
| "accelerate>=0.33.0", | |
| "cached_path", | |
| "click", | |
| "datasets", | |
| "ema_pytorch>=0.5.2", | |
| "hydra-core>=1.3.0", | |
| "jieba", | |
| "librosa", | |
| "matplotlib", | |
| "numpy<=1.26.4", | |
| "pydub", | |
| "pypinyin", | |
| "safetensors", | |
| "soundfile", | |
| "tomli", | |
| "torch>=2.0.0", | |
| "torchaudio>=2.0.0", | |
| "torchdiffeq", | |
| "tqdm>=4.65.0", | |
| "transformers", | |
| "transformers_stream_generator", | |
| "vocos", | |
| "wandb", | |
| "indic-numtowords", | |
| "x_transformers>=1.31.14", | |
| ], | |
| dependency_links=[ | |
| "git+https://github.com/AriglaAdarsh/SPRING_F5.git" | |
| ], | |
| python_requires=">=3.8", | |
| ) |