Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Dutch
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use LisanneH/whisper-small-nl-Synthetic_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LisanneH/whisper-small-nl-Synthetic_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LisanneH/whisper-small-nl-Synthetic_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("LisanneH/whisper-small-nl-Synthetic_2") model = AutoModelForSpeechSeq2Seq.from_pretrained("LisanneH/whisper-small-nl-Synthetic_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Error:"datasets[0]" with value "/content/drive/MyDrive/MAAI/Synthetische_data" is not valid. If possible, use a dataset id from https://hf.co/datasets.
YAML Metadata Error:"model-index[0].results[0].dataset.type" with value "/content/drive/MyDrive/MAAI/Synthetische_data" fails to match the required pattern: /^(?:[\w-]+\/)?[\w-.]+$/
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