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wav2vecu2 -> phoneme from answer timespan, get answer phoneme train NMSQA tasks with context phoneme as input and answer phoneme as output
Results Avg AOS: 0.6586811819639634 Avg FF1: 0.697483897268189 Exact Match: 0.2042313923568093
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# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/wav2vecu2-t5lephone-small-NMSQA") model = AutoModelForMultimodalLM.from_pretrained("Splend1dchan/wav2vecu2-t5lephone-small-NMSQA")