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license: apple-ascl |
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## MobileCLIP CoreML Models |
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These are the CoreML models of MobileCLIP. For more details, refer to [MobileCLIP on HuggingFace](https://huggingface.co./apple/mobileclip_b_timm) and [MobileCLIP on GitHub](https://github.com/apple/ml-mobileclip). |
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The models are separated for each subarchitecture: |
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- **MobileCLIP-S0**: This subarchitecture is designed for lightweight and fast inference, making it suitable for edge devices with limited computational resources. |
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- **MobileCLIP-S1**: This subarchitecture offers a balance between model complexity and performance, providing a good trade-off for various applications. |
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- **MobileCLIP-S2**: This subarchitecture focuses on achieving higher accuracy, ideal for applications where performance can be slightly compromised for better results. |
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- **MobileCLIP-B**: This subarchitecture aims at delivering the highest possible accuracy, optimized for environments with ample computational resources. |
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Each subarchitecture contains a TextEncoder and ImageEncoder that are separated into CoreML models for each subarchitecture: |
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| Model | CLIP Text | CLIP Image | |
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|:----------------------------------------------------------|:-------------------------|:----------------------------| |
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| MobileCLIP-S0 | clip_text_s0.mlpackage | clip_image_s0.mlpackage | |
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| MobileCLIP-S1 | clip_text_s1.mlpackage | clip_image_s1.mlpackage | |
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| MobileCLIP-S2 | clip_text_s2.mlpackage | clip_image_s2.mlpackage | |
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| MobileCLIP-B | clip_text_B.mlpackage | clip_image_B.mlpackage | |
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For detailed implementation and architecture specifics, refer to the [MobileCLIP GitHub repository](https://github.com/apple/ml-mobileclip). |
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**CoreML Parameters:** |
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| Model | Input Name | Input Shape | Input DataType | Output Name | Output Shape | Output DataType | |
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|:---------|:-------------|:------------|:---------------|:-------------------|:-------------|:----------------| |
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| CLIP Text| input_text | (1,77) | INT32 | output_embeddings | (1,512) | FLOAT16 | |
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| Model | Input Name | Input Width | Input Height | Input ColorSpace | Output Name | Output Shape | Output DataType | |
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|:---------|:-------------|:------------|:-------------|:-----------------|:-------------------|:-------------|:----------------| |
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| CLIP Image| input_image | 256 | 256 | RGB | output_embeddings | (1,512) | FLOAT16 | |
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*These are example scripts for performing the conversion to CoreML* |
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1. **CLIPImageModel to CoreML** [](https://colab.research.google.com/drive/1ZHMzsJyAukBa4Jryv4Tmc_BOBmbQAjxf?usp=sharing) |
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- This notebook demonstrates the process of converting a CLIP image model to CoreML format. |
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2. **CLIPTextModel to CoreML** [](https://colab.research.google.com/drive/1PxzB8M0h2bf-uYpw7fIZImpGSVXUI7Ie?usp=sharing) |
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- This notebook demonstrates the process of converting a CLIP text model to CoreML format. |
