Installation
# Create a python 3.10 conda env (you could also use virtualenv)
conda create -n f5-tts python=3.10
conda activate f5-tts
# NVIDIA GPU: install pytorch with your CUDA version, e.g.
pip install torch==2.3.0+cu118 torchaudio==2.3.0+cu118 --extra-index-url https://download.pytorch.org/whl/cu118
# AMD GPU: install pytorch with your ROCm version, e.g. (Linux only)
pip install torch==2.5.1+rocm6.2 torchaudio==2.5.1+rocm6.2 --extra-index-url https://download.pytorch.org/whl/rocm6.2
# Intel GPU: install pytorch with your XPU version, e.g.
# Intel® Deep Learning Essentials or Intel® oneAPI Base Toolkit must be installed
pip install --pre torch torchaudio --index-url https://download.pytorch.org/whl/nightly/xpu
Package installation
As a pip package (if just for inference)
pip install git+https://github.com/SWivid/F5-TTS.git
Download the ckpoint and vocab.txt file and keep the path of them in the infer_simplified.py script as mentioned!!
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for telecmiusa/F5_TTS_Hindi
Base model
SWivid/F5-TTS