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README.md
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- coco2017
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# CLIP
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## Introduction
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This is a smaller version of CLIP trained for EN only. The training script can be found [here](https://www.kaggle.com/code/sachin/tiny-en-clip/). 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](https://sachinruk.github.io/blog/pytorch/pytorch%20lightning/loss%20function/gpu/2021/03/07/CLIP.html).
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For now this is the recommended way to use this model
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```
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git lfs install
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git clone https://huggingface.co/sachin/
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cd
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```
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Once you are in the folder you could do the following:
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```python
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- coco2017
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---
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# Tiny CLIP
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## Introduction
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This is a smaller version of CLIP trained for EN only. The training script can be found [here](https://www.kaggle.com/code/sachin/tiny-en-clip/). 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](https://sachinruk.github.io/blog/pytorch/pytorch%20lightning/loss%20function/gpu/2021/03/07/CLIP.html).
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For now this is the recommended way to use this model
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```
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git lfs install
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git clone https://huggingface.co/sachin/tiny_clip
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cd tiny_clip
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```
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Once you are in the folder you could do the following:
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```python
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