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IWSLT2022-tamasheq-only
LIA-AvignonUniversity/IWSLT2022-tamasheq-only
IWSLT2022-tamasheq-only is a machine learning model from LIA-AvignonUniversity. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This is a wav2vec 2.0 base model pre-trained on 243 hours of Tamasheq speech from the corpus presented in Boito et al., 2022. This is not an ASR fine-tuned model. There is no vocabulary file.
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At a glance
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 4, 2022
- Updated
- Mar 31, 2025
- SHA
- 07e64577
Model card
From the Hugging Face model README
Model and data descriptions
This is a wav2vec 2.0 base model pre-trained on 243 hours of Tamasheq speech from the corpus presented in Boito et al., 2022. This is not an ASR fine-tuned model. There is no vocabulary file.
Intended uses & limitations
Pretrained wav2vec2 models are distributed under the Apache-2.0 license. Hence, they can be reused extensively without strict limitations.
Referencing our IWSLT models
@article{boito2022trac,
title={ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks},
author={Boito, Marcely Zanon and Ortega, John and Riguidel, Hugo and Laurent, Antoine and Barrault, Lo{\"\i}c and Bougares, Fethi and Chaabani, Firas and Nguyen, Ha and Barbier, Florentin and Gahbiche, Souhir and others},
journal={IWSLT},
year={2022}
}
- Library
- transformers
- Type
- wav2vec2
- Created
- Apr 4, 2022
- Updated
- Mar 31, 2025