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:
- 69a4acd5e0efc89cb390457bd04fce585c52681271ca41c0a8333f48715e123a
- Size of remote file:
- 967 MB
- SHA256:
- 29f412d9a030ac0a27d63313850a51670d7a7e8c71af3876267d2d3ebc07cd77
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