Automatic Speech Recognition
Transformers
Safetensors
seamless_m4t_v2
feature-extraction
audio-to-audio
text-to-speech
seamless_communication
Instructions to use facebook/seamless-m4t-v2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/seamless-m4t-v2-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/seamless-m4t-v2-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/seamless-m4t-v2-large") model = AutoModel.from_pretrained("facebook/seamless-m4t-v2-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
how to select speaker
#51
by 7xN - opened
How do I select a speaker or clone a voice if this even possible with this model.
I dont think that's the purpose of that one. You can use https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI once you are done making your translation