hf-tiny-model-private

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tiny-random-Data2VecAudioForSequenceClassification

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HF tiny models (private usage) 15

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("audio-classification", model="hf-tiny-model-private/tiny-random-Data2VecAudioForSequenceClassification")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForAudioClassification

tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-Data2VecAudioForSequenceClassification")
model = AutoModelForAudioClassification.from_pretrained("hf-tiny-model-private/tiny-random-Data2VecAudioForSequenceClassification", device_map="auto")