Instructions to use facebook/mms-tts-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-eng")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-eng") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-eng") - Notebooks
- Google Colab
- Kaggle
fine-tuning
#15
by nickoo004 - opened
how to fine tuning this model. i tred with https://github.com/ylacombe/finetune-hf-vits this Introduction, but not working. Problem:OSError: facebook/mms-tts-eng does not appear to have a file named preprocessor_config.json...
How exactly do you set it up? This model is a bit strange. It takes effort to get it to generate sound from text. With the help of a chatbot, I got it working with a lot of effort.