Automatic Speech Recognition
Transformers
PyTorch
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-medium-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-medium-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-medium-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-medium-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-medium-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 029896505d0e1a63e697b93b205c4dcd16890cfee48ab7b44b0e6aa513df3145
- Size of remote file:
- 3.06 GB
- SHA256:
- f5ede6249ab92f7d9c7f4a148fefec62d5bc238b571885f30c4d252a79f04363
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