| base_model: openai/clip-vit-base-patch32 | |
| license: mit | |
| pipeline_tag: image-classification | |
| tags: | |
| - smat | |
| - model-merging | |
| - vision | |
| # CLIP ViT base-patch32 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. |