Automatic Speech Recognition
Transformers
Safetensors
Fon
wav2vec2
mms
fongbe
african-languages
low-resource-languages
tone-preserved
audio
Eval Results (legacy)
Instructions to use Professor/mms-300m-fongbe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Professor/mms-300m-fongbe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Professor/mms-300m-fongbe")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Professor/mms-300m-fongbe") model = AutoModelForCTC.from_pretrained("Professor/mms-300m-fongbe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Built a platform to deploy AI models instantly. Looking for honest feedback
#1 opened 5 months ago
by
jensenjesper