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:
- bbdfb8a8fc183416c83de2bfe1dffd5d0d3fc6c9ce5b4924cf50d67aebd0dc98
- Size of remote file:
- 3.64 kB
- SHA256:
- 9845f43313cf78a76db73bd7a25c7532ab335c81454f5e017ca834d03728f8c7
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