Instructions to use levicu/whisat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use levicu/whisat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="levicu/whisat")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("levicu/whisat") model = AutoModelForSpeechSeq2Seq.from_pretrained("levicu/whisat") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 8 months ago
by
SFconvertbot