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---
license: apache-2.0
language:
- en
base_model:
- apple/MobileCLIP2-S4
- apple/MobileCLIP2-S2
pipeline_tag: image-text-to-text
tags:
- MobileCLIP
- MobileCLIP2
- CLIP
- Classification
---
# MobileCLIP2
The following versions of MobileCLIP2 have been converted to run on the Axera NPU using w8a16 quantization. Compatible with Pulsar2 version: 4.2
- MobileCLIP2-S2
- MobileCLIP2-S4
If you want to know how to convert the MobileCLIP2 model into an axmodel that can run on the axera npu board, please read [this link](https://github.com/AXERA-TECH/axera.ml-mobileclip) in detail.
## Support Platform
- AX650
## End-of-board inference time
- MobileCLIP2-S2
| Stage | Time |
|------|------|
| image encoder | 19.146 ms |
| text encoder | 5.675 ms |
- MobileCLIP2-S4
| Stage | Time |
|------|------|
| image encoder | 65.328 ms |
| text encoder | 12.663 ms |
## How to use
Download all files from this repository to the device
Run the following command:
```bash
python3 run_axmodel.py -ie ./mobileclip2_s4_image_encoder.axmodel -te ./mobileclip2_s4_text_encoder.axmodel -i ./zebra.jpg -t "a zebra" "a dog" "two zebras"
```
Model input and output examples are as follows:
1. the image you want to input:
3. The description of the text you want to categorize:
["a zebra", "a dog", "two zebras"]
4. Model output class confidence scores:
Label probs: [[6.095444e-02 5.628616e-14 9.390456e-01]]
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