Instructions to use fractalego/personal-whisper-small.en-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fractalego/personal-whisper-small.en-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fractalego/personal-whisper-small.en-model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fractalego/personal-whisper-small.en-model") model = AutoModelForSpeechSeq2Seq.from_pretrained("fractalego/personal-whisper-small.en-model") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Personal speech to text model
Speech to Text models often do not understand my accent, so I fine tuned this one from "openai/whisper-small.en" using about 1000 recordings of my voice, comprising of about 2h of recordings. The system goes from ~10% WER to 6% WER. A larger model would perform better but I need speed.
Do not download unless you have exactly my accent (North-East Italy).
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