Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use JulioCastro/whisper-medium-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulioCastro/whisper-medium-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JulioCastro/whisper-medium-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JulioCastro/whisper-medium-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("JulioCastro/whisper-medium-ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b46e01c30a1d1568eecec6750e89e9c9343f8577635dc6764bb8df5ea39d912
- Size of remote file:
- 3.06 GB
- SHA256:
- 3d095ca67c1c0f648934963373098877daa34d2cae27081ae9f2ef6afaaafe60
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