slplab

/

w2v2_asdonly-240104

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

pipe = pipeline("automatic-speech-recognition", model="slplab/w2v2_asdonly-240104")

# Load model directly
from transformers import AutoProcessor, AutoModelForCTC

processor = AutoProcessor.from_pretrained("slplab/w2v2_asdonly-240104")
model = AutoModelForCTC.from_pretrained("slplab/w2v2_asdonly-240104", device_map="auto")