Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Danish
whisper
Generated from Trainer
hf-asr-leaderboard
whisper-event
Eval Results (legacy)
Instructions to use jstoone/whisper-medium-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jstoone/whisper-medium-da with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jstoone/whisper-medium-da")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jstoone/whisper-medium-da") model = AutoModelForSpeechSeq2Seq.from_pretrained("jstoone/whisper-medium-da") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10000
Browse files
pytorch_model.bin
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runs/Dec18_19-31-26_150-136-92-72/events.out.tfevents.1671392859.150-136-92-72.3522376.0
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