import torch
from roformer import RoFormerModel, RoFormerTokenizer
tokenizer = RoFormerTokenizer.from_pretrained("junnyu/roformer_chinese_base")
model = RoFormerModel.from_pretrained("junnyu/roformer_chinese_base")
text = "这里基本保留了唐宋遗留下来的坊巷格局和大量明清古建筑，其中各级文保单位29处，被誉为“里坊制度的活化石”“明清建筑博物馆”！"
inputs = tokenizer(text, return_tensors="pt")
with torch.no_grad():
    outputs = model(**inputs).last_hidden_state
print(outputs.shape)

import torch
from roformer import RoFormerForMaskedLM, RoFormerTokenizer
text = "今天[MASK]很好，我[MASK]去公园玩。"
tokenizer = RoFormerTokenizer.from_pretrained("junnyu/roformer_chinese_base")
model = RoFormerForMaskedLM.from_pretrained("junnyu/roformer_chinese_base")
inputs = tokenizer(text, return_tensors="pt")
with torch.no_grad():
    outputs = model(**inputs).logits[0]
outputs_sentence = ""
for i, id in enumerate(tokenizer.encode(text)):
    if id == tokenizer.mask_token_id:
        tokens = tokenizer.convert_ids_to_tokens(outputs[i].topk(k=5)[1])
        outputs_sentence += "[" + "||".join(tokens) + "]"
    else:
        outputs_sentence += "".join(
            tokenizer.convert_ids_to_tokens([id], skip_special_tokens=True))
print(outputs_sentence)
# 今天[天气||天||心情||阳光||空气]很好，我[想||要||打算||准备||喜欢]去公园玩。

python compare_model.py
mean difference : tensor(4.3925e-07)
max  difference : tensor(7.6294e-06)