hedronstone/whisper-large-v2-sw

Model

• Name: Whisper Large-v2 Swahili
• Description: Whisper weights for speech-to-text task, fine-tuned and evaluated on normalized data.
• Dataset:
  • Train and validation splits for Swahili subsets of Common Voice 11.0.
  • Train, validation and test splits for Swahili subsets of Google Fleurs.
• Performance: 30.7 WER

Weights

• Date of release: 12.09.2022
• License: MIT

Usage

To use these weights in HuggingFace's transformers library, you can do the following:

from transformers import WhisperForConditionalGeneration

model = WhisperForConditionalGeneration.from_pretrained("hedronstone/whisper-large-v2-sw")