Automatic Speech Recognition
Transformers
PyTorch
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-tiny-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-tiny-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-tiny-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-tiny-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-tiny-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10b2d3c5014e47b51796f7efb619991716101bb19685b04ad0b26f8e269a2600
- Size of remote file:
- 151 MB
- SHA256:
- e11b80ea62d0ac41286f1ea3913363609f21ade7065ac89b36975f53f112dfa1
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