Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
hf-asr-leaderboard
whisper-event
Eval Results (legacy)
Instructions to use softcatala/whisper-medium-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use softcatala/whisper-medium-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="softcatala/whisper-medium-ca")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("softcatala/whisper-medium-ca") model = AutoModelForMultimodalLM.from_pretrained("softcatala/whisper-medium-ca") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#2 opened almost 3 years ago
by
librarian-bot
No em descarrega el models amb Buzz
6
#1 opened over 3 years ago
by
TofolCabeza