About loading embed
pipe.load_textual_inversion("embed/negative",weight_name="EasyNegativeV2.safetensors",token="EasyNegative")When I ran the code above, I got the following message How can I resolve this issue?You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 49539. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
2023-10-30T11:43:20Z
I have face the same problem, anyone know how to solve it?
2023-11-06T22:52:30Z
It seems to have been fixed. Thank you.github.com/huggingface/transformers[RFC, Logging] Change warning to infohuggingface:main←huggingface:move_warning_to_infoopened04:29PM - 02 Oct 23 UTCpatrickvonplaten+1-1# What does this PR do?

Change warning to info when adding a new text embeddi…ng. The reason is that this warning is trigger every time someone runs:

which confuses users: https://github.com/huggingface/diffusers/issues/5212 .

I don't think we should use `pad_to_multiple` here as it would mean that we add 8 new tokens every time we call `load_textual_inversion`