Add pipeline tag and remove arxiv ID from metadata

README.md

@@ -1,16 +1,17 @@
 ---
-license: mit
 base_model: openai/clip-vit-base-patch32
+license: mit
 tags:
 - smat
 - model-merging
 - vision
-- arxiv:2609.33437
+pipeline_tag: image-classification
 ---
+
 # CLIP ViT base-patch32 · SMAT · RESISC45
 
 A SMAT expert from Table 2 of **SMAT: Simple and Efficient Merge-Aware Training** (seed 42). SMAT trains experts with model merging in mind.
 
 [Paper](https://arxiv.org/abs/2609.33437) · [GitHub & usage](https://github.com/egangu/smat/blob/main/docs/HUGGINGFACE.md)
 
-`encoder.pt` is the original FP32 vision-encoder state dictionary; load it with the SMAT code and the matching OpenAI CLIP base model. Dataset terms apply separately.
+`encoder.pt` is the original FP32 vision-encoder state dictionary; load it with the SMAT code and the matching OpenAI CLIP base model. Dataset terms apply separately.