Automatic Speech Recognition
Transformers
Safetensors
Danish
whisper
danish
speech-recognition
coral
Eval Results (legacy)
Instructions to use danish-foundation-models/edda-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danish-foundation-models/edda-v0.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="danish-foundation-models/edda-v0.2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("danish-foundation-models/edda-v0.2") model = AutoModelForSpeechSeq2Seq.from_pretrained("danish-foundation-models/edda-v0.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Tokenizer files: stock OpenAI whisper-large-v3-turbo set, so the model loads in transformers 4.x (the transformers-5 tokenizer_config.json does not); vocabulary and token ids unchanged
698f8d0 verified