feat: add cn clip model

[Hippopotamus0308]

Using cn clip model from https://github.com/OFA-Sys/Chinese-CLIP

Namely,

• CN-CLIP/ViT-B-16
• CN-CLIP/ViT-L-14
• CN-CLIP/ViT-L-14-336
• CN-CLIP/ViT-H-14
• CN-CLIP/RN50

[ZiniuYu]

@Hippopotamus0308 lint failed, please check your commit messages (including pr title) 🙇

[codecov[bot]]

Codecov Report

Merging #888 (f4dce2b) into main (8a576c5) will decrease coverage by 11.48%. The diff coverage is 68.42%.

@@             Coverage Diff             @@
##             main     #888       +/-   ##
===========================================
- Coverage   83.08%   71.60%   -11.49%     
===========================================
  Files          22       23        +1     
  Lines        1531     1567       +36     
===========================================
- Hits         1272     1122      -150     
- Misses        259      445      +186     

Flag	Coverage Δ
cas	71.60% <68.42%> (-11.49%)	:arrow_down:

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
server/clip_server/model/tokenization.py	74.41% <41.66%> (-13.47%)	:arrow_down:
server/clip_server/model/cnclip_model.py	77.27% <77.27%> (ø)
server/clip_server/model/clip_model.py	92.59% <100.00%> (+0.92%)	:arrow_up:
server/clip_server/model/pretrained_models.py	98.43% <100.00%> (+0.02%)	:arrow_up:
server/clip_server/executors/clip_tensorrt.py	0.00% <0.00%> (-94.60%)	:arrow_down:
server/clip_server/model/clip_trt.py	0.00% <0.00%> (-85.72%)	:arrow_down:
server/clip_server/model/trt_utils.py	0.00% <0.00%> (-83.52%)	:arrow_down:
server/clip_server/model/clip_onnx.py	87.30% <0.00%> (+22.22%)	:arrow_up:

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