Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use JulioCastro/whisper-tiny-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulioCastro/whisper-tiny-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JulioCastro/whisper-tiny-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JulioCastro/whisper-tiny-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("JulioCastro/whisper-tiny-ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6da59eb8bdeb13fdee063020c4dc94799f6b4464fe28f5672c47a57a2fc5f4aa
- Size of remote file:
- 151 MB
- SHA256:
- 5e8639708ab0ebc89f8fce3fd7a92f475aa14833a0a2a272f812b1194f53b713
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