carlosdanielhernandezmena
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Adding info to the README for the first time.
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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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language:
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- ca
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datasets:
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- projecte-aina/3catparla_asr
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tags:
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- audio
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- automatic-speech-recognition
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- catalan
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- faster-whisper
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- whisper-large-v3
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- catalonia
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- barcelona-supercomputing-center
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- projecte-aina
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- 3catparla
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---
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# faster-whisper-large-v3-ca-3catparla
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This is a faster-whisper version of [projecte-aina/whisper-large-v3-ca-3catparla](https://huggingface.co/projecte-aina/whisper-large-v3-ca-3catparla).
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The specific dataset used to create the model is the [3CatParla](https://huggingface.co/datasets/projecte-aina/3catparla_asr).
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The model was created like described in [faster-whisper](https://github.com/guillaumekln/faster-whisper/tree/master):
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```bash
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ct2-transformers-converter --model projecte-aina/whisper-large-v3-ca-3catparla
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--output_dir faster-whisper-large-v3-ca-3catparla
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--copy_files preprocessor_config.json
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--quantization float16
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```
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# Usage
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```python
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from faster_whisper import WhisperModel
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model_size = "projecte-aina/faster-whisper-large-v3-ca-3catparla"
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# Run on GPU with FP16
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model = WhisperModel(model_size, device="cuda", compute_type="float16")
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# or run on GPU with INT8
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#model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")
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# or run on CPU with INT8
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# model = WhisperModel(model_size, device="cpu", compute_type="int8")
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segments, info = model.transcribe("audio_in_catalan.mp3", beam_size=5, task="translate",language="ca")
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print("Detected language '%s' with probability %f" % (info.language, info.language_probability))
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for segment in segments:
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print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
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```
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# BibTeX entry and citation info
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* When publishing results based on these models please refer to:
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```bibtex
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@misc{mena2024fastwhis3catparla,
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title={Acoustic Model in Catalan: faster-whisper-large-v3-ca-3catparla.},
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author={Hernandez Mena, Carlos Daniel},
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organization={Barcelona Supercomputing Center},
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url={https://huggingface.co/projecte-aina/faster-whisper-large-v3-ca-3catparla},
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year={2024},
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}
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```
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# Acknowledgements
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This model has been promoted and financed by the Government of Catalonia through the Aina project.
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