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Upload README.md with huggingface_hub

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@@ -36,10 +36,8 @@ More details on model performance across various devices, can be found
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 15.437 ms | 0 - 4 MB | FP16 | NPU | [CLIPTextEncoder.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 126.791 ms | 0 - 4 MB | FP16 | NPU | [CLIPImageEncoder.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 8.102 ms | 0 - 20 MB | FP16 | NPU | [CLIPTextEncoder.so](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.so)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 50.465 ms | 0 - 59 MB | FP16 | NPU | [CLIPImageEncoder.so](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.so)
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  ## Installation
@@ -97,37 +95,6 @@ device. This script does the following:
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  python -m qai_hub_models.models.openai_clip.export
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  ```
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- ```
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- Profile Job summary of CLIPTextEncoder
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- --------------------------------------------------
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- Device: Samsung Galaxy S24 (14)
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- Estimated Inference Time: 11.18 ms
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- Estimated Peak Memory Range: 0.02-210.88 MB
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- Compute Units: NPU (574),CPU (2) | Total (576)
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-
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- Profile Job summary of CLIPImageEncoder
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- --------------------------------------------------
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- Device: Samsung Galaxy S24 (14)
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- Estimated Inference Time: 96.47 ms
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- Estimated Peak Memory Range: 0.25-827.19 MB
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- Compute Units: NPU (576) | Total (576)
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-
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- Profile Job summary of CLIPTextEncoder
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- --------------------------------------------------
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- Device: Samsung Galaxy S24 (14)
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- Estimated Inference Time: 5.70 ms
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- Estimated Peak Memory Range: 0.01-136.97 MB
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- Compute Units: NPU (377) | Total (377)
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-
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- Profile Job summary of CLIPImageEncoder
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- --------------------------------------------------
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- Device: Samsung Galaxy S24 (14)
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- Estimated Inference Time: 38.29 ms
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- Estimated Peak Memory Range: 0.61-217.84 MB
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- Compute Units: NPU (371) | Total (371)
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-
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-
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- ```
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  ## How does this work?
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  This [export script](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/OpenAI-Clip/export.py)
 
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 15.395 ms | 0 - 3 MB | FP16 | NPU | [CLIPTextEncoder.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 126.657 ms | 0 - 3 MB | FP16 | NPU | [CLIPImageEncoder.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite)
 
 
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  ## Installation
 
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  python -m qai_hub_models.models.openai_clip.export
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  ```
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  ## How does this work?
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  This [export script](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/OpenAI-Clip/export.py)