Transformers How to use hf-tiny-model-private/tiny-random-Wav2Vec2ConformerForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("audio-classification", model="hf-tiny-model-private/tiny-random-Wav2Vec2ConformerForSequenceClassification") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Wav2Vec2ConformerForSequenceClassification")
model = AutoModelForAudioClassification.from_pretrained("hf-tiny-model-private/tiny-random-Wav2Vec2ConformerForSequenceClassification", device_map="auto") 
