Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Danish
whisper
Generated from Trainer
hf-asr-leaderboard
whisper-event
Eval Results (legacy)
Instructions to use caoldr/whisper-medium-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caoldr/whisper-medium-da with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="caoldr/whisper-medium-da")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("caoldr/whisper-medium-da") model = AutoModelForSpeechSeq2Seq.from_pretrained("caoldr/whisper-medium-da") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:5bf5905e8873650ca9d5dffb3ee5cff1f45f19cfcc1dc3036d46f05d1ac66126
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size 3055544304
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