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whisper-large-v2-sw
hedronstone/whisper-large-v2-sw
whisper-large-v2-sw is a automatic speech recognition model from hedronstone. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
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. - Trai…
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 9, 2022
- Updated
- Dec 20, 2022
- SHA
- d43d1e02
Model card
From the Hugging Face model README
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")
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- sw
- Created
- Dec 9, 2022
- Updated
- Dec 20, 2022