...,
[ 0.0475, -0.0508, -0.0145,  ...,  0.0070, -0.0089, -0.0163]],
```  
There are two tensors, `"clip_g"` and `"clip_l"`.
`"clip_g"` corresponds to the bigger text encoder in SDXL and refers to
`pipe.text_encoder_2` and `"clip_l"` refers to `pipe.text_encoder`.  
Now you can load each tensor separately by passing them along with the correct text encoder and tokenizer
to [`~loaders.TextualInversionLoaderMixin.load_textual_inversion`]:  
```py
from diffusers import AutoPipelineForText2Image
import torch