Automatic Speech Recognition
Transformers
PyTorch
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-small-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-small-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-small-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-small-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-small-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b28ad84042337504599eb68262d9e8740248696c5ef9d18f67382760052ca5c
- Size of remote file:
- 4.16 kB
- SHA256:
- aeabfdb3c9a80a66be4245b6192961ac51835b462d2d8c70225258526a9ed4ca
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