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@@ -5,6 +5,9 @@ datasets:
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  language:
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  - lv
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  pipeline_tag: automatic-speech-recognition
 
 
 
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  ---
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  # General-purpose Latvian ASR model
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  We also provide 4-bit, 5-bit and 8-bit quantized versions of the model in the GGML format for the use with [whisper.cpp](https://github.com/ggerganov/whisper.cpp).
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  ## Training
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  Fine-tuning was done using the Hugging Face Transformers library with a modified [seq2seq script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition#sequence-to-sequence).
 
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  language:
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  - lv
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  pipeline_tag: automatic-speech-recognition
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+ base_model:
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+ - openai/whisper-large-v3
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+ new_version: AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19
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  ---
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  # General-purpose Latvian ASR model
 
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  We also provide 4-bit, 5-bit and 8-bit quantized versions of the model in the GGML format for the use with [whisper.cpp](https://github.com/ggerganov/whisper.cpp).
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+ **NB!** This model is superseded by a newer version: [whisper-large-v3-lv-late-cv19](https://huggingface.co/AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19) model.
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  ## Training
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  Fine-tuning was done using the Hugging Face Transformers library with a modified [seq2seq script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition#sequence-to-sequence).