Instructions to use aliencaocao/whisper-medium.en-TIL24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aliencaocao/whisper-medium.en-TIL24 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aliencaocao/whisper-medium.en-TIL24")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aliencaocao/whisper-medium.en-TIL24") model = AutoModelForSpeechSeq2Seq.from_pretrained("aliencaocao/whisper-medium.en-TIL24") - Notebooks
- Google Colab
- Kaggle
Model Description
This model was finetuned from whisper-medium.en for the DSTA BrainHack TIL 2024 competition on noisy, radio-sounding clips of military commands to control a turret. It has 0.43% WER on the hidden test set by DSTA.
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