Instructions to use artificialguybr/whisper-small-pt-cv13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artificialguybr/whisper-small-pt-cv13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="artificialguybr/whisper-small-pt-cv13")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("artificialguybr/whisper-small-pt-cv13") model = AutoModelForSpeechSeq2Seq.from_pretrained("artificialguybr/whisper-small-pt-cv13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85deafe2d3ffb5b9dd5f256f57b524197ecd974f8520e8dd77a4afa0a5566f24
- Size of remote file:
- 967 MB
- SHA256:
- 4f848e8ff90fbc4c4adb650ff24e8aafd815d72e1b3c52e4aa42bb291a38b5e9
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