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")# 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
|
Download seamlessm4t_arch.svg from facebook/seamless-m4t-v2-large: direct link, hf CLI and curl.
- Browser
- Download file 50.1 kB
-
https://huggingface.co/facebook/seamless-m4t-v2-large/resolve/main/seamlessm4t_arch.svg
- Command line
-
hf download hf://facebook/seamless-m4t-v2-large/seamlessm4t_arch.svg
-
curl -L -o seamlessm4t_arch.svg https://huggingface.co/facebook/seamless-m4t-v2-large/resolve/main/seamlessm4t_arch.svg
50.1 kB