pipeline_tag: 自动语音识别 datasets:

• mozilla-foundation/common_voice_11_0 license: cc language:
• rw metrics:
• cer base_model:
• openai/whisper-small tags:
• 语音转文字
• 基尼亚卢旺达语微调
• 基尼亚卢旺达语

模型描述

该模型是基于OpenAI的whisper-small模型，在基尼亚卢旺达语Common Voice数据集上进行微调得到的。通过在斯瓦希里语模型基础上进行微调，新增了基尼亚卢旺达语支持。 其词错误率(WER)为24%。当前版本不支持基尼亚卢旺达语到英语的翻译功能。

使用方式

>>> from transformers import WhisperProcessor, WhisperForConditionalGeneration
>>> from datasets import load_dataset
>>> import datasets
>>> import torch
>>> # 加载模型和处理器
>>> 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']