Instructions to use volodya-leveryev/sakha-mms-1b-kenlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use volodya-leveryev/sakha-mms-1b-kenlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="volodya-leveryev/sakha-mms-1b-kenlm")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("volodya-leveryev/sakha-mms-1b-kenlm") model = AutoModelForCTC.from_pretrained("volodya-leveryev/sakha-mms-1b-kenlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 5
Model tree for volodya-leveryev/sakha-mms-1b-kenlm
Base model
facebook/mms-1b-fl102