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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3-turbo |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-turbo-ft-btb-cv-cy |
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results: [] |
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datasets: |
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- techiaith/banc-trawsgrifiadau-bangor |
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- techiaith/commonvoice_18_0_cy |
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language: |
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- cy |
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pipeline_tag: automatic-speech-recognition |
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--- |
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# whisper-large-v3-turbo-ft-btb-cv-cy |
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This model is a version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) finedtuned with |
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transcriptions of Welsh language spontaneous speech [Banc Trawsgrifiadau Bangor (btb)](https://huggingface.co/datasets/techiaith/banc-trawsgrifiadau-bangor) |
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ac well as recordings of read speach from [Welsh Common Voice version 18 (cv)](https://huggingface.co/datasets/techiaith/commonvoice_18_0_cy) |
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for additional training. |
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The Whisper large-v3-turbo pre-trained model is a finetuned version of a pruned Whisper large-v3. In other words, this model is the |
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same model as [techiaith/whisper-large-v3-ft-btb-cv-cy](https://huggingface.co/techiaith/whisper-large-v3-ft-btb-cv-cy), |
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except that the number of decoding layers have been reduced. As a result, the model is way faster, at the expense |
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of a minor quality degradation. |
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It achieves the following results on the [Banc Trawsgrifiadau Bangor'r test set](https://huggingface.co/datasets/techiaith/banc-trawsgrifiadau-bangor/viewer/default/test) |
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- WER: 30.27 |
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- CER: 11.14 |
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As such this model is suitable for faster verbatim transcribing of spontaneous or unplanned speech. |
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## Usage |
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```python |
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from transformers import pipeline |
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transcriber = pipeline("automatic-speech-recognition", model="techiaith/whisper-large-v3-turbo-ft-btb-cv-cy") |
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result = transcriber(<path or url to soundfile>) |
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print (result) |
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``` |
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`{'text': 'ymm, yn y pum mlynadd dwitha 'ma ti 'di... Ie. ...bod drw dipyn felly do?'}` |
