AttributeError: 'SequenceClassifierOutput' object has no attribute 'last_hidden_state' about bcembedding HOT 5 CLOSED

Some weights of XLMRobertaForSequenceClassification were not initialized from the model checkpoint at bce-embedding-base_v1 and are newly initialized: ['classifier.out_proj.bias', 'classifier.dense.weight', 'classifier.dense.bias', 'classifier.out_proj.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
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AttributeError                            Traceback (most recent call last)
Cell In[8], line 28
     26 # get embeddings
     27 outputs = embedding_model(**inputs_on_device, return_dict=True)
---> 28 embeddings = outputs.last_hidden_state[:, 0]  # cls pooler
     29 embeddings = embeddings / embeddings.norm(dim=1, keepdim=True)  # normalize

AttributeError: 'SequenceClassifierOutput' object has no attribute 'last_hidden_state'