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Some weights of BertModel were not initialized from the model checkpoint at ./model/jina-embeddings-v2-base-zh and are newly initialized: ['embeddings.position_embeddings.weight', 'encoder.layer.0.intermediate.dense.bias', 'encoder.layer.0.intermediate.dense.weight', 'encoder.layer.0.output.LayerNorm.bias', 'encoder.layer.0.output.LayerNorm.weight', 'encoder.layer.0.output.dense.bias', 'encoder.layer.0.output.dense.weight', 'encoder.layer.1.intermediate.dense.bias', 'encoder.layer.1.intermediate.dense.weight', 'encoder.layer.1.output.LayerNorm.bias', 'encoder.layer.1.output.LayerNorm.weight', 'encoder.layer.1.output.dense.bias', 'encoder.layer.1.output.dense.weight', 'encoder.layer.10.intermediate.dense.bias', 'encoder.layer.10.intermediate.dense.weight', 'encoder.layer.10.output.LayerNorm.bias', 'encoder.layer.10.output.LayerNorm.weight', 'encoder.layer.10.output.dense.bias', 'encoder.layer.10.output.dense.weight', 'encoder.layer.11.intermediate.dense.bias', 'encoder.layer.11.intermediate.dense.weight', 'encoder.layer.11.output.LayerNorm.bias', 'encoder.layer.11.output.LayerNorm.weight', 'encoder.layer.11.output.dense.bias', 'encoder.layer.11.output.dense.weight', 'encoder.layer.2.intermediate.dense.bias', 'encoder.layer.2.intermediate.dense.weight', 'encoder.layer.2.output.LayerNorm.bias', 'encoder.layer.2.output.LayerNorm.weight', 'encoder.layer.2.output.dense.bias', 'encoder.layer.2.output.dense.weight', 'encoder.layer.3.intermediate.dense.bias', 'encoder.layer.3.intermediate.dense.weight', 'encoder.layer.3.output.LayerNorm.bias', 'encoder.layer.3.output.LayerNorm.weight', 'encoder.layer.3.output.dense.bias', 'encoder.layer.3.output.dense.weight', 'encoder.layer.4.intermediate.dense.bias', 'encoder.layer.4.intermediate.dense.weight', 'encoder.layer.4.output.LayerNorm.bias', 'encoder.layer.4.output.LayerNorm.weight', 'encoder.layer.4.output.dense.bias', 'encoder.layer.4.output.dense.weight', 'encoder.layer.5.intermediate.dense.bias', 'encoder.layer.5.intermediate.dense.weight', 'encoder.layer.5.output.LayerNorm.bias', 'encoder.layer.5.output.LayerNorm.weight', 'encoder.layer.5.output.dense.bias', 'encoder.layer.5.output.dense.weight', 'encoder.layer.6.intermediate.dense.bias', 'encoder.layer.6.intermediate.dense.weight', 'encoder.layer.6.output.LayerNorm.bias', 'encoder.layer.6.output.LayerNorm.weight', 'encoder.layer.6.output.dense.bias', 'encoder.layer.6.output.dense.weight', 'encoder.layer.7.intermediate.dense.bias', 'encoder.layer.7.intermediate.dense.weight', 'encoder.layer.7.output.LayerNorm.bias', 'encoder.layer.7.output.LayerNorm.weight', 'encoder.layer.7.output.dense.bias', 'encoder.layer.7.output.dense.weight', 'encoder.layer.8.intermediate.dense.bias', 'encoder.layer.8.intermediate.dense.weight', 'encoder.layer.8.output.LayerNorm.bias', 'encoder.layer.8.output.LayerNorm.weight', 'encoder.layer.8.output.dense.bias', 'encoder.layer.8.output.dense.weight', 'encoder.layer.9.intermediate.dense.bias', 'encoder.layer.9.intermediate.dense.weight', 'encoder.layer.9.output.LayerNorm.bias', 'encoder.layer.9.output.LayerNorm.weight', 'encoder.layer.9.output.dense.bias', 'encoder.layer.9.output.dense.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Traceback (most recent call last):
  File "C:\Users\Lenovo\Desktop\test\gpt4free\test.py", line 9, in <module>
    embeddings = model.encode(['How is the weather today?', '今天天气怎么样?'])
  File "D:\Coding\miniconda\envs\chatgpt\lib\site-packages\torch\nn\modules\module.py", line 1688, in __getattr__
    raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
AttributeError: 'BertModel' object has no attribute 'encode'