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README.md

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-This model is based on Langboat/mengzi-t5-base and pre-trained on 11 Chinese dialogue datasets. It is trained on 8 Tesla A100 for 2 days.
-
-To load this model:
-```python
-import torch
-from transformers import T5Tokenizer
-from transformers import T5ForConditionalGeneration
-from collections import OrderedDict
-
-model_path = 'Langboat/mengzi-t5-base'
-model = T5ForConditionalGeneration.from_pretrained(model_path)
-tokenizer = T5Tokenizer.from_pretrained(model_path)
-
-ckp_path = 'mengzi-t5-base-chinese-dialogue/pytorch_model.ckpt'
-ckpt = torch.load(ckp_path, map_location="cpu")
-old_state_dict = ckpt['state_dict']
-new_state_dict = OrderedDict()
-for k, v in old_state_dict.items() :
-    new_state_dict[k.replace('model.', '')] = v
-model.load_state_dict(new_state_dict, strict=False)
-```