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README.md
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or be deployed within a microservices infrastructure using a message broker connector. It supports both offline and real-time transcription.
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## Training Details
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### Hardware
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- 1× NVIDIA H100 GPU (80 GB)
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or be deployed within a microservices infrastructure using a message broker connector. It supports both offline and real-time transcription.
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## Training Details
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The training code is available in the [nemo_asr_training repository](https://github.com/linagora-labs/nemo_asr_training).
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The full configuration used for fine-tuning is available [here](https://github.com/linagora-labs/nemo_asr_training/blob/main/fastconformer/yamls/finetuning_linto_stt_fr_fastconformer_pc.yaml).
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### Hardware
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- 1× NVIDIA H100 GPU (80 GB)
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