Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Danish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ALM/whisper-da-small-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALM/whisper-da-small-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ALM/whisper-da-small-augmented")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ALM/whisper-da-small-augmented") model = AutoModelForSpeechSeq2Seq.from_pretrained("ALM/whisper-da-small-augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88425849ebaae3a98ba9ea12af3349e037fa9d1a0e9ce5178d7685948bb1113f
- Size of remote file:
- 967 MB
- SHA256:
- 955389412ae5a42c9ac4264e0899e487baee71bca53587c5cbe32f1feed1735f
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