Whisper Small Kinyarwanda

🚀 Whisper-Small-Kinyarwanda

A fine - tuned Whisper small model for Kinyarwanda automatic speech recognition, achieving 24 WER.

🚀 Quick Start

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 Examples

Basic Usage

>>> 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']

📄 License

This model is licensed under the CC license.