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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec3bf3cef8531841a4aa6c6f232d33e5e43cebab6420a9b557a84c3c0688cbe3
- Size of remote file:
- 9.07 GB
- SHA256:
- f2122cedcffc532d6048847092414e638cfb4db402881cb8146a606008e9ff56
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