Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -35,7 +35,6 @@ More details on model performance across various devices, can be found
|
|
| 35 |
|
| 36 |
| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
| 37 |
| ---|---|---|---|---|---|---|---|
|
| 38 |
-
| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 53.656 ms | 9 - 14 MB | FP16 | NPU | [FastSam-X.tflite](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.tflite)
|
| 39 |
|
| 40 |
|
| 41 |
|
|
@@ -115,7 +114,6 @@ from qai_hub_models.models.fastsam_x import Model
|
|
| 115 |
|
| 116 |
# Load the model
|
| 117 |
torch_model = Model.from_pretrained()
|
| 118 |
-
torch_model.eval()
|
| 119 |
|
| 120 |
# Device
|
| 121 |
device = hub.Device("Samsung Galaxy S23")
|
|
|
|
| 35 |
|
| 36 |
| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
| 37 |
| ---|---|---|---|---|---|---|---|
|
|
|
|
| 38 |
|
| 39 |
|
| 40 |
|
|
|
|
| 114 |
|
| 115 |
# Load the model
|
| 116 |
torch_model = Model.from_pretrained()
|
|
|
|
| 117 |
|
| 118 |
# Device
|
| 119 |
device = hub.Device("Samsung Galaxy S23")
|