Scaling Speech Technology to 1,000+ Languages
Paper • 2305.13516 • Published • 12
How to use rayvvv/mms-1b-multilingual with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="rayvvv/mms-1b-multilingual") # Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("rayvvv/mms-1b-multilingual")
model = AutoModelForCTC.from_pretrained("rayvvv/mms-1b-multilingual")YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
A neat version of mms-1b-all .
For more details, please have a look at the official docs.
Developed by: Vineel Pratap et al.
Model type: Multi-Lingual Automatic Speech Recognition model
Language(s): 1000+ languages, see supported languages
License: CC-BY-NC 4.0 license
Num parameters: 1 billion
Audio sampling rate: 16,000 kHz
Cite as:
@article{pratap2023mms,
title={Scaling Speech Technology to 1,000+ Languages},
author={Vineel Pratap and Andros Tjandra and Bowen Shi and Paden Tomasello and Arun Babu and Sayani Kundu and Ali Elkahky and Zhaoheng Ni and Apoorv Vyas and Maryam Fazel-Zarandi and Alexei Baevski and Yossi Adi and Xiaohui Zhang and Wei-Ning Hsu and Alexis Conneau and Michael Auli},
journal={arXiv},
year={2023}
}