Automatic Speech Recognition
Transformers
Safetensors
Fula
wav2vec2
speech
pular
fula
fuf
mms
low-resource
Eval Results (legacy)
Instructions to use SalimDiallo/mms-1b-pular-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SalimDiallo/mms-1b-pular-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SalimDiallo/mms-1b-pular-asr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("SalimDiallo/mms-1b-pular-asr") model = AutoModelForCTC.from_pretrained("SalimDiallo/mms-1b-pular-asr", 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!