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Clean metadata and add pipeline tag (#1)
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---
base_model: openai/clip-vit-large-patch14
license: mit
pipeline_tag: image-classification
tags:
- smat
- model-merging
- vision
---
# CLIP ViT large-patch14 路 FT 路 RESISC45
A FT 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) 路 [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.