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")
- Downloads last month
- 8
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.