update to transfomers 4.52

Signed-off-by: n1ck-guo <[email protected]>

README.md

@@ -6,11 +6,15 @@ base_model:
 ## Model Details
 
 This model is an int4 model with group_size 128 and symmetric quantization of [HuggingFaceTB/SmolVLM-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct) generated by [intel/auto-round](https://github.com/intel/auto-round).  Load the model with revision="e289950" to use AutoGPTQ format.
+
+auto-round>0.51
+
+transformers>=4.52.0
+
 ## How To Use
 ### INT4 Inference
 
 ```python
-from auto_round import AutoRoundConfig ##must import for auto-round format
 import torch
 from PIL import Image
 from transformers import AutoProcessor, AutoModelForVision2Seq
@@ -127,4 +131,4 @@ The license on this model does not constitute legal advice. We are not responsib
 
 @article{cheng2023optimize, title={Optimize weight rounding via signed gradient descent for the quantization of llms}, author={Cheng, Wenhua and Zhang, Weiwei and Shen, Haihao and Cai, Yiyang and He, Xin and Lv, Kaokao and Liu, Yi}, journal={arXiv preprint arXiv:2309.05516}, year={2023} }
 
-[arxiv](https://arxiv.org/abs/2309.05516) [github](https://github.com/intel/auto-round)
+[arxiv](https://arxiv.org/abs/2309.05516) [github](https://github.com/intel/auto-round)