Distil-wav2vec2
This model is a distilled version of the wav2vec2 model (https://arxiv.org/pdf/2006.11477.pdf). This model is 45% times smaller and twice as fast as the original wav2vec2 base model.
Evaluation results
This model achieves the following results (speed is mesured for a batch size of 64):
| Model | Size | WER Librispeech-test-clean | WER Librispeech-test-other | Speed on cpu | speed on gpu |
|---|---|---|---|---|---|
| Distil-wav2vec2 | 197.9 Mb | 0.0983 | 0.2266 | 0.4006s | 0.0046s |
| wav2vec2-base | 360 Mb | 0.0389 | 0.1047 | 0.4919s | 0.0082s |
Usage
notebook (executes seamlessly on google colab) at https://github.com/OthmaneJ/distil-wav2vec2
- Downloads last month
- 180
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.