I just installed it.
vectors = vectorizer.sent2vec_bert()
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Traceback (most recent call last):
File "<ipython-input-7-d7f140e4a0b3>", line 1, in <module>
vectors = vectorizer.sent2vec_bert()
File "C:\Users\User\anaconda3\envs\py376\lib\site-packages\sent2vec\vectorizer.py", line 34, in sent2vec_bert
last_hidden_states = model(input_ids)
File "C:\Users\User\anaconda3\envs\py376\lib\site-packages\torch\nn\modules\module.py", line 532, in __call__
result = self.forward(*input, **kwargs)
File "C:\Users\User\anaconda3\envs\py376\lib\site-packages\transformers\modeling_distilbert.py", line 463, in forward
inputs_embeds = self.embeddings(input_ids) # (bs, seq_length, dim)
File "C:\Users\User\anaconda3\envs\py376\lib\site-packages\torch\nn\modules\module.py", line 532, in __call__
result = self.forward(*input, **kwargs)
File "C:\Users\User\anaconda3\envs\py376\lib\site-packages\transformers\modeling_distilbert.py", line 93, in forward
word_embeddings = self.word_embeddings(input_ids) # (bs, max_seq_length, dim)
File "C:\Users\User\anaconda3\envs\py376\lib\site-packages\torch\nn\modules\module.py", line 532, in __call__
result = self.forward(*input, **kwargs)
File "C:\Users\User\anaconda3\envs\py376\lib\site-packages\torch\nn\modules\sparse.py", line 114, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "C:\Users\User\anaconda3\envs\py376\lib\site-packages\torch\nn\functional.py", line 1484, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.IntTensor instead (while checking arguments for embedding)
Thanks for developing sent2vec
I just installed it.
I was trying to run the example and the getting the errors: