readme: ---
  pipeline_tag: automatic-speech-recognition
  datasets:
  - mozilla-foundation/common_voice_11_0
  ---
  # Model description
  
  This model is an openai's whisper-small model fine-tuned on the Kinyarwanda common-voice dataset. The Kinyarwanda language was added by fine-tuning on top of the Swahili language.
  It achieves a 24 WER. Currently, it does not provide Kinyarwanda-to-English translation.
  
  # Usage
  ```python
  >>> from transformers import WhisperProcessor, WhisperForConditionalGeneration
  >>> from datasets import load_dataset
  >>> import datasets
  >>> import torch
  >>> # load model and processor
  >>> processor = WhisperProcessor.from_pretrained("mbazaNLP/Whisper-Small-Kinyarwanda")
  >>> model = WhisperForConditionalGeneration.from_pretrained("mbazaNLP/Whisper-Small-Kinyarwanda")
  >>> ds = load_dataset("common_voice", "rw", split="test", streaming=True)
  >>> ds = ds.cast_column("audio", datasets.Audio(sampling_rate=16_000))
  >>> input_speech = next(iter(ds))["audio"]["array"]
  >>> model.config.forced_decoder_ids = processor.get_decoder_prompt_ids(language = "sw", task = "transcribe")
  >>> input_features = processor(input_speech, return_tensors="pt").input_features 
  >>> predicted_ids = model.generate(input_features)
  >>> transcription = processor.batch_decode(predicted_ids)
  ['<|startoftranscript|><|sw|><|transcribe|><|notimestamps|>Abamugariye ku rugamba bafashwa kubona insimburangingo<|endoftext|>']
  >>> transcription = processor.batch_decode(predicted_ids, skip_special_tokens = True)
  ['Abamugariye ku rugamba bafashwa kubona insimburangingo']
  
  ```