Upload README.md with huggingface_hub
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README.md
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE |
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| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX |
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| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE |
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| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX |
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| HuggingFace-WavLM-Base-Plus | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE |
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| HuggingFace-WavLM-Base-Plus | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX |
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| HuggingFace-WavLM-Base-Plus | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 163.
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| HuggingFace-WavLM-Base-Plus | SA7255P ADP | SA7255P | TFLITE | 2268.
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| HuggingFace-WavLM-Base-Plus | SA8255 (Proxy) | SA8255P Proxy | TFLITE |
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| HuggingFace-WavLM-Base-Plus | SA8295P ADP | SA8295P | TFLITE | 270.
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| HuggingFace-WavLM-Base-Plus | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 163.
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| HuggingFace-WavLM-Base-Plus |
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| HuggingFace-WavLM-Base-Plus |
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| HuggingFace-WavLM-Base-Plus | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 185.374 ms | 206 - 206 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.onnx](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.onnx) |
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## Installation
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This model can be installed as a Python package via pip.
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```bash
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pip install "qai-hub-models[
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```
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## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
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HuggingFace-WavLM-Base-Plus
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) :
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Estimated peak memory usage (MB): [0,
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Total # Ops : 871
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Compute Unit(s) : NPU (871 ops)
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```
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torch_model = Model.from_pretrained()
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# Device
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device = hub.Device("Samsung Galaxy
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# Trace model
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input_shape = torch_model.get_input_spec()
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## License
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* The license for the original implementation of HuggingFace-WavLM-Base-Plus can be found
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* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 165.096 ms | 0 - 49 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
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| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 179.467 ms | 0 - 591 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.onnx](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.onnx) |
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| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 120.933 ms | 0 - 194 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
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| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 130.638 ms | 2 - 730 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.onnx](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.onnx) |
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| HuggingFace-WavLM-Base-Plus | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 99.04 ms | 0 - 204 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
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| HuggingFace-WavLM-Base-Plus | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 114.519 ms | 2 - 749 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.onnx](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.onnx) |
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| HuggingFace-WavLM-Base-Plus | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 163.244 ms | 1 - 54 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
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| HuggingFace-WavLM-Base-Plus | SA7255P ADP | SA7255P | TFLITE | 2268.66 ms | 0 - 203 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
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| HuggingFace-WavLM-Base-Plus | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 164.455 ms | 0 - 50 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
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| HuggingFace-WavLM-Base-Plus | SA8295P ADP | SA8295P | TFLITE | 270.746 ms | 1 - 196 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
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| HuggingFace-WavLM-Base-Plus | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 163.808 ms | 0 - 64 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
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| HuggingFace-WavLM-Base-Plus | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 248.863 ms | 1 - 190 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
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| HuggingFace-WavLM-Base-Plus | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 185.941 ms | 206 - 206 MB | FP16 | NPU | [HuggingFace-WavLM-Base-Plus.onnx](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.onnx) |
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## Installation
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Install the package via pip:
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```bash
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pip install "qai-hub-models[huggingface-wavlm-base-plus]"
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```
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## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
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HuggingFace-WavLM-Base-Plus
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 165.1
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Estimated peak memory usage (MB): [0, 49]
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Total # Ops : 871
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Compute Unit(s) : NPU (871 ops)
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```
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torch_model = Model.from_pretrained()
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# Device
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device = hub.Device("Samsung Galaxy S24")
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# Trace model
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input_shape = torch_model.get_input_spec()
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## License
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* The license for the original implementation of HuggingFace-WavLM-Base-Plus can be found
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[here](https://github.com/microsoft/unilm/blob/master/LICENSE).
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* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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