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BUT-FIT
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SE_DiCoW
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Brno University of Technology, Faculty of Information Technology
85
Automatic Speech Recognition
Transformers
Safetensors
4 datasets
DiCoW
speech
whisper
multilingual
speaker-diarization
meeting-transcription
target-speaker-asr
SE-DiCoW
BUT-FIT
custom_code
License:
apache-2.0
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SE_DiCoW
4.68 GB
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FDDT.py
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README.md
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SCBs.py
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SE-DiCoW_figure.png
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added_tokens.json
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config.json
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config.py
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decoding.py
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encoder.py
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generation.py
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generation_config.json
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layers.py
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merges.txt
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model.safetensors
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modeling_dicow.py
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normalizer.json
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preprocessor_config.json
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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utils.py
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vocab.json
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