Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Dutch
whisper
whisper-event
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use GeoffVdr/whisper-medium-nlcv11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeoffVdr/whisper-medium-nlcv11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GeoffVdr/whisper-medium-nlcv11")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GeoffVdr/whisper-medium-nlcv11") model = AutoModelForSpeechSeq2Seq.from_pretrained("GeoffVdr/whisper-medium-nlcv11") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened 12 months ago
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Librarian Bot: Add base_model information to model
#5 opened over 2 years ago
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Update README.md
#4 opened over 3 years ago
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Update README.md
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Update README.md
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