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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- apple/MobileCLIP2-S4 |
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- apple/MobileCLIP2-S2 |
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pipeline_tag: image-text-to-text |
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tags: |
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- MobileCLIP |
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- MobileCLIP2 |
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- CLIP |
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- Classification |
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--- |
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# MobileCLIP2 |
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The following versions of MobileCLIP2 have been converted to run on the Axera NPU using w8a16 quantization. Compatible with Pulsar2 version: 4.2 |
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- MobileCLIP2-S2 |
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- MobileCLIP2-S4 |
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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. |
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## Support Platform |
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- AX650 |
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## End-of-board inference time |
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- MobileCLIP2-S2 |
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| Stage | Time | |
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|------|------| |
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| image encoder | 19.146 ms | |
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| text encoder | 5.675 ms | |
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- MobileCLIP2-S4 |
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| Stage | Time | |
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|------|------| |
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| image encoder | 65.328 ms | |
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| text encoder | 12.663 ms | |
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## How to use |
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Download all files from this repository to the device |
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Run the following command: |
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```bash |
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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" |
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``` |
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Model input and output examples are as follows: |
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1. the image you want to input: |
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3. The description of the text you want to categorize: |
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["a zebra", "a dog", "two zebras"] |
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4. Model output class confidence scores: |
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Label probs: [[6.095444e-02 5.628616e-14 9.390456e-01]] |
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