Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Icelandic
whisper
whisper-event
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use DavidErikMollberg/whipser-medium-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidErikMollberg/whipser-medium-is with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DavidErikMollberg/whipser-medium-is")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DavidErikMollberg/whipser-medium-is") model = AutoModelForSpeechSeq2Seq.from_pretrained("DavidErikMollberg/whipser-medium-is") - Notebooks
- Google Colab
- Kaggle