monideep2255

/

batch_size_32

like 0

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

pipe = pipeline("automatic-speech-recognition", model="monideep2255/batch_size_32")

# Load model directly
from transformers import AutoProcessor, AutoModelForCTC

processor = AutoProcessor.from_pretrained("monideep2255/batch_size_32")
model = AutoModelForCTC.from_pretrained("monideep2255/batch_size_32")