中文数据集使用及模型加载问题

[yedongyu1996]

你好： 我参考你们的文章A Unified Generative Framework for Aspect-Based Sentiment ，想用这个模型作中文的ABSA，于是我将原文的facebook/bart-base替换成fnlp/bart-base-chinese，但是我这里有以下几个问题：

1. 1：transformers在4.4.1版本加载模型时会报错：RuntimeError: Error(s) in loading state_dict for BartModel:

size mismatch for encoder.embed_positions.weight: copying a param with shape torch.Size([514, 768]) from checkpoint, the shape in current model is torch.Size([512, 768]). size mismatch for encoder.embed_positions.weight: copying a param with shape torch.Size([514, 768]) from checkpoint, the shape in current model is torch.Size([512, 768]). 这主要是在这里：model = BartSeq2SeqModel.build_model(bart_name, tokenizer, label_ids=label_ids, decoder_type=decoder_type,copy_gate=False, use_encoder_mlp=use_encoder_mlp, use_recur_pos=False)

1. 2：facebook提供的batr-base中有一些文件是merges.txt和json形式的vocab，这与您在huggingface上提供的不一致。我将您在

huggingface上提供的有关bart-base-chinese提供的文件用tokenizer.from_pretrained("bart-base-chinese")使用时，pytorch报错： OSError: Can't load tokenizer for 'bart-base-chinese'. Make sure that: 'bart-base-chinese' is a correct model identifier listed on 'https://huggingface.co/models' or 'bart-base-chinese' is the correct path to a directory containing relevant tokenizer files 请问这个该怎么解决？

[zr941436946]

你好，请问您解决了这个问题吗？