Automatic Speech Recognition
Transformers
PyTorch
Basa (Cameroon)
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use sammy786/wav2vec2-xlsr-Basaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sammy786/wav2vec2-xlsr-Basaa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sammy786/wav2vec2-xlsr-Basaa")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sammy786/wav2vec2-xlsr-Basaa") model = AutoModelForCTC.from_pretrained("sammy786/wav2vec2-xlsr-Basaa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot