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wav2vec2-dhivehi
flax-community/wav2vec2-dhivehi
wav2vec2-dhivehi is a automatic speech recognition model from flax-community. Use it when you need speech turned into text. It is set up for transformers.
Wav2vec2 pre-pretrained from scratch using common voice dhivehi dataset. The model was trained with Flax during the Flax/Jax Community Week organised by HuggingFace.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 19, 2021
- SHA
- a83fcbd6
Datasets
Model card
From the Hugging Face model README
Wav2Vec2 Dhivehi
Wav2vec2 pre-pretrained from scratch using common voice dhivehi dataset. The model was trained with Flax during the Flax/Jax Community Week organised by HuggingFace.
Model description
The model used for training is Wav2Vec2 by FacebookAI. It was introduced in the paper "wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations" by Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli (https://arxiv.org/abs/2006.11477).
This model is available in the 🤗 Model Hub.
Training data
Dhivehi data from Common Voice.
The dataset is also available in the 🤗 Datasets library.
Team members
- Shahu Kareem (@shahukareem)
- Eyna (@eyna)
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Languages
- dv
- Created
- Mar 2, 2022
- Updated
- Jul 19, 2021