How to use from the
Use from the
Transformers library
# 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", device_map="auto")
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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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Safetensors
Model size
0.8B params
Tensor type
F32
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