Automatic Speech Recognition
Transformers
PyTorch
Catalan
whisper
audio
catalan
whisper-large-v3
projecte-aina
barcelona-supercomputing-center
bsc
Eval Results (legacy)
Instructions to use projecte-aina/whisper-large-v3-ca-3catparla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/whisper-large-v3-ca-3catparla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="projecte-aina/whisper-large-v3-ca-3catparla")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("projecte-aina/whisper-large-v3-ca-3catparla") model = AutoModelForSpeechSeq2Seq.from_pretrained("projecte-aina/whisper-large-v3-ca-3catparla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K