metadata
language:
- en
tags:
- zero-shot-image-classification
license: mit
datasets:
- coco2017
Tiny CLIP
Introduction
This is a smaller version of CLIP trained for EN only. The training script can be found here. This model is roughly 8 times smaller than CLIP. This was achieved by using a small text model (microsoft/xtremedistil-l6-h256-uncased
) and a small vision model (edgenext_small
). For a in-depth guide of training CLIP see this blog.
Usage
For now this is the recommended way to use this model
git lfs install
git clone https://huggingface.co./sachin/tiny_clip
cd tiny_clip
Once you are in the folder you could do the following:
import models
text_encoder, tokenizer, vision_encoder, transform = models.get_model()