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
.pth file
#37
by developeranalyser - opened
how to use pth file in m4t files
always and any ways end with keys mismatch !!
please tell me right way
TK