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jinaai
/
jina-clip-implementation

Transformers
xlm-roberta
eva02
clip
Inference Endpoints
🇪🇺 Region: EU
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jina-clip-implementation
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---
tags:
- transformers
- xlm-roberta
- eva02
- clip
library_name: transformers
license: cc-by-nc-4.0
language:
  - multilingual
  - af
  - am
  - ar
  - as
  - az
  - be
  - bg
  - bn
  - br
  - bs
  - ca
  - cs
  - cy
  - da
  - de
  - el
  - en
  - eo
  - es
  - et
  - eu
  - fa
  - fi
  - fr
  - fy
  - ga
  - gd
  - gl
  - gu
  - ha
  - he
  - hi
  - hr
  - hu
  - hy
  - id
  - is
  - it
  - ja
  - jv
  - ka
  - kk
  - km
  - kn
  - ko
  - ku
  - ky
  - la
  - lo
  - lt
  - lv
  - mg
  - mk
  - ml
  - mn
  - mr
  - ms
  - my
  - ne
  - nl
  - 'no'
  - om
  - or
  - pa
  - pl
  - ps
  - pt
  - ro
  - ru
  - sa
  - sd
  - si
  - sk
  - sl
  - so
  - sq
  - sr
  - su
  - sv
  - sw
  - ta
  - te
  - th
  - tl
  - tr
  - ug
  - uk
  - ur
  - uz
  - vi
  - xh
  - yi
  - zh
---

# Jina CLIP

Core implementation of Jina CLIP. The model uses:
* the [EVA 02](https://github.com/baaivision/EVA/tree/master/EVA-CLIP/rei/eva_clip) architecture for the vision tower
* the [Jina XLM RoBERTa with Flash Attention](https://huggingface.co/jinaai/xlm-roberta-flash-implementation) model as a text tower

## Models that use this implementation

- [jinaai/jina-clip-v2](https://huggingface.co/jinaai/jina-clip-v2)
- [jinaai/jina-clip-v1](https://huggingface.co/jinaai/jina-clip-v1)

## Requirements

To use the Jina CLIP source code, the following packages are required:
* `torch`
* `timm`
* `transformers`
* `einops`
* `xformers` to use x-attention
* `flash-attn` to use flash attention
* `apex` to use fused layer normalization