Automatic Speech Recognition
Transformers
PyTorch
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-small-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-small-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-small-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-small-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-small-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
588f9f0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:aeabfdb3c9a80a66be4245b6192961ac51835b462d2d8c70225258526a9ed4ca
size 4155
|