Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Catalan
whisper
whisper-event
Generated from Trainer
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use softcatala/whisper-small-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use softcatala/whisper-small-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="softcatala/whisper-small-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("softcatala/whisper-small-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("softcatala/whisper-small-ca") - Notebooks
- Google Colab
- Kaggle
Update location
Browse files
openai/{softcatala-small-openai-format.pt → c3fed188a6a95d16a3493242cedd26e7705de1b1adf0a41e29ab182190a7308b/softcatala-small-openai-format.pt}
RENAMED
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File without changes
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