# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("audio-classification", model="ronvolutional/anton-l-wav2vec2-random-tiny-classifier")# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("ronvolutional/anton-l-wav2vec2-random-tiny-classifier")
model = AutoModelForAudioClassification.from_pretrained("ronvolutional/anton-l-wav2vec2-random-tiny-classifier")Quick Links
Clone of anton-l/wav2vec2-random-tiny-classifier with custom tag.
Model SHA as of 2022-08-27T14:36:23: 6e3a1a53403754ac132e77c27976a9cbefcb45bb
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