Automatic Speech Recognition
Transformers
Safetensors
Sidamo
wav2vec2
african-languages
waxal
waxalnet
Instructions to use waxal-benchmarking/mms-300m-waxal-sid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waxal-benchmarking/mms-300m-waxal-sid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="waxal-benchmarking/mms-300m-waxal-sid")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("waxal-benchmarking/mms-300m-waxal-sid") model = AutoModelForCTC.from_pretrained("waxal-benchmarking/mms-300m-waxal-sid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!