Instructions to use SWivid/F5-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use SWivid/F5-TTS with F5-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Load on huggingFace
#23
by akotrei - opened
Hi, I can't load this model using:
from transformers import pipeline
pipe = pipeline("text-to-speech", model="SWivid/F5-TTS")
getting:
raise ValueError(
ValueError: Unrecognized model in SWivid/F5-TTS. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert
What can be a reason?
Hi, I can't load this model using:
from transformers import pipeline pipe = pipeline("text-to-speech", model="SWivid/F5-TTS")getting:
raise ValueError( ValueError: Unrecognized model in SWivid/F5-TTS. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albertWhat can be a reason?
the SWivid/F5-TTS model is not compatible with the standard Hugging Face transformers interface. F5-TTS has its own custom implementation