|
Download README.md from yanggangu/CLIP-ViT-base-patch32-FT-MNIST: direct link, hf CLI and curl.
- Browser
- Download file 607 Bytes
-
https://huggingface.co/yanggangu/CLIP-ViT-base-patch32-FT-MNIST/resolve/main/README.md
- Command line
-
hf download hf://yanggangu/CLIP-ViT-base-patch32-FT-MNIST/README.md
-
curl -L -o README.md https://huggingface.co/yanggangu/CLIP-ViT-base-patch32-FT-MNIST/resolve/main/README.md
607 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 MNIST
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.