# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("audio-classification", model="speechdata/speech-or-sound")# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("speechdata/speech-or-sound")
model = AutoModelForAudioClassification.from_pretrained("speechdata/speech-or-sound")Quick Links
private for now, more details coming soon
very experimental model so please DM me on X for access https://x.com/realmrfakename
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Model tree for speechdata/speech-or-sound
Base model
openai/whisper-tiny
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