Instructions to use aitor-medrano/lara-base-pushed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aitor-medrano/lara-base-pushed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aitor-medrano/lara-base-pushed")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aitor-medrano/lara-base-pushed") model = AutoModelForSpeechSeq2Seq.from_pretrained("aitor-medrano/lara-base-pushed") - Notebooks
- Google Colab
- Kaggle
Ctrl+K