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Same as hf-internal-testing/tiny-random-prophetnet, but with higher max_length and max_position_embedding
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hirotasoshu/tiny-random-prophetnet") model = AutoModelForSeq2SeqLM.from_pretrained("hirotasoshu/tiny-random-prophetnet")