Automatic Speech Recognition
Transformers
PyTorch
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-large-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-large-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-large-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-large-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-large-ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0aa055901c1669606e0e8bbb5709b9d0e167bd1b0a49c13fb114285aba5ab17e
- Size of remote file:
- 6.17 GB
- SHA256:
- 934b629fa1786ff13a73f93bcfe553c524744bcacc15baa1f3c6a9834070a3cf
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