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--- |
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license: apache-2.0 |
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datasets: |
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- techiaith/commonvoice_18_0_cy |
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language: |
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- cy |
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base_model: |
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- openai/whisper-base |
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pipeline_tag: automatic-speech-recognition |
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tags: |
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- whispercpp |
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--- |
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# whisper-base-ft-cv-cy-cpp |
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This model is a version of the [openai/whisper-base](https://huggingface.co/openai/whisper-base) model, fine-tuned on the |
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[techiaith/commonvoice_18_0_cy](https://huggingface.co/datasets/techiaith/commonvoice_18_0_cy) dataset, and then |
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[converted for use in whisper.cpp](https://github.com/ggerganov/whisper.cpp/tree/master/models#fine-tuned-models). Whispercpp is |
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a C/C++ port of Whisper that provides high performance inference on offline hardware such as desktops, laptops and mobile devices. |
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The model is a smaller in size to the corresponding cloud hosted model |
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[techiaith/whisper-large-v3-ft-cv-cy](https://huggingface.co/techiaith/whisper-large-v3-ft-cv-cy). |
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It achieves the following WER results for transcribing: |
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- Wer: 42.68 |
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- Cer: 14.14 |
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## Usage |
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whispercpp makes it easy to use models in many platforms and applications. See the 'examples' folder |
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in the whispercpp github repo for more information and example code. |
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To get quickly started with whispercpp's basic usage however, follow the '[Quick Start](https://github.com/ggerganov/whisper.cpp?tab=readme-ov-file#quick-start)' |
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but download this model with the following command: |
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`$ wget https://huggingface.co/techiaith/whisper-base-ft-cv-cy-cpp/resolve/main/ggml-model.bin` |
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