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Setting pad_token_id to eos_token_id:0 for open-end generation.
RuntimeError Traceback (most recent call last) in <cell line: 2>()
1 query_engine = index.as_query_engine()
----> 2 response = query_engine.query( "What's the cost of Whisper model?")
37 frames /usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py in _attn(self, query, key, value, attention_mask, head_mask)
217 # Need to be on the same device, otherwise RuntimeError: ..., x and y to be on the same device
218 mask_value = torch.tensor(mask_value, dtype=attn_scores.dtype).to(attn_scores.device)
--> 219 attn_scores = torch.where(causal_mask, attn_scores, mask_value)
220
221 if attention_mask is not None:
RuntimeError: The size of tensor a (2048) must match the size of tensor b (2049) at non-singleton dimension 3
The text was updated successfully, but these errors were encountered:
Setting
pad_token_id
toeos_token_id
:0 for open-end generation.RuntimeError Traceback (most recent call last)
in <cell line: 2>()
1 query_engine = index.as_query_engine()
----> 2 response = query_engine.query( "What's the cost of Whisper model?")
37 frames
/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py in _attn(self, query, key, value, attention_mask, head_mask)
217 # Need to be on the same device, otherwise
RuntimeError: ..., x and y to be on the same device
218 mask_value = torch.tensor(mask_value, dtype=attn_scores.dtype).to(attn_scores.device)
--> 219 attn_scores = torch.where(causal_mask, attn_scores, mask_value)
220
221 if attention_mask is not None:
RuntimeError: The size of tensor a (2048) must match the size of tensor b (2049) at non-singleton dimension 3
The text was updated successfully, but these errors were encountered: