facebook/wav2vec2-xls-r-300m fine-tuned on openslr (SLR86) and mozilla-foundation/common_voice_12_0 for Yoruba language.
WER: 0.51
from huggingsound import SpeechRecognitionModel
model = SpeechRecognitionModel("AstralZander/yoruba_ASR")
audio_paths = [audio_path] # List with paths to audio
transcriptions = model.transcribe(audio_paths)
transcriptions # List of transcriptions, timestamps and probabilities
transcriptions[ind_audio]['transcription'] # Transcription of audio with the ind_audio index from the audio_paths list
- Downloads last month
- 13
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.