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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Dec01_16-06-23_ac0469ccc78d/events.out.tfevents.1669916957.ac0469ccc78d.1119.0
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