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Download README.md from yanggangu/CLIP-ViT-base-patch32-FT-RESISC45: direct link, hf CLI and curl.
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610 Bytes
metadata
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.
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.