Instructions to use readerbench/whisper-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/whisper-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="readerbench/whisper-ro")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("readerbench/whisper-ro") model = AutoModelForSpeechSeq2Seq.from_pretrained("readerbench/whisper-ro") - Notebooks
- Google Colab
- Kaggle
Update README.md
#1
by gabimoncha - opened
No description provided.
updated the model card with language and base model