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stt_eu_conformer_transducer_large

Automatic Speech Recognition

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asierhv commited on Mar 11

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 | [![Model architecture](https://img.shields.io/badge/Model_Arch-Conformer--CTC-lightgrey#model-badge)](#model-architecture)
-| [![Model size](https://img.shields.io/badge/Params-121M-lightgrey#model-badge)](#model-architecture)
 | [![Language](https://img.shields.io/badge/Language-eu-lightgrey#model-badge)](#datasets)
 This model transcribes speech in lowercase Basque alphabet including spaces, and was trained on a composite dataset comprising of 548 hours of Basque speech. The model was fine-tuned from a pre-trained Spanish [stt_es_conformer_transducer_large](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_es_conformer_transducer_large) model using the [Nvidia NeMo](https://github.com/NVIDIA/NeMo) toolkit.  It is an autoregressive "large" variant of Conformer, with around 119 million parameters.

 </style>
 | [![Model architecture](https://img.shields.io/badge/Model_Arch-Conformer--CTC-lightgrey#model-badge)](#model-architecture)
+| [![Model size](https://img.shields.io/badge/Params-119M-lightgrey#model-badge)](#model-architecture)
 | [![Language](https://img.shields.io/badge/Language-eu-lightgrey#model-badge)](#datasets)
 This model transcribes speech in lowercase Basque alphabet including spaces, and was trained on a composite dataset comprising of 548 hours of Basque speech. The model was fine-tuned from a pre-trained Spanish [stt_es_conformer_transducer_large](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_es_conformer_transducer_large) model using the [Nvidia NeMo](https://github.com/NVIDIA/NeMo) toolkit.  It is an autoregressive "large" variant of Conformer, with around 119 million parameters.