Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Danish
whisper
Generated from Trainer
Instructions to use n4jiDX/whisper-medium-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use n4jiDX/whisper-medium-da with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="n4jiDX/whisper-medium-da")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("n4jiDX/whisper-medium-da") model = AutoModelForSpeechSeq2Seq.from_pretrained("n4jiDX/whisper-medium-da", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92072877b008e73be43c6721c3c4941c94c77006a8bbdf43c315517d8e2a3bc8
- Size of remote file:
- 5.5 kB
- SHA256:
- 228beff765c55b1be7140e08e08749f798dea7567ecca6508aa4afa924c0eb38
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