Hugging Face's logo

qualcomm
/
EfficientNet-B4

Image Classification
PyTorch
backbone
bu_auto
android
Model card Files
xet
Community
qaihm-bot commited on
Commit
0a32eed
·
verified ·
1 Parent(s): 6e95af2

v0.42.0

Browse files

See https://github.com/quic/ai-hub-models/releases/v0.42.0 for changelog.

Files changed (5) hide show
  1. EfficientNet-B4_float.dlc +2 -2
  2. EfficientNet-B4_float.onnx.zip +1 -1
  3. EfficientNet-B4_w8a16.dlc +2 -2
  4. README.md +34 -33
  5. tool-versions.yaml +1 -1
EfficientNet-B4_float.dlc CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:15c478d2206e090f25c55d6d15cddb4085308260cbeed11a899114bc2524244b
3
- size 77623604
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6f1d628f1d91a56cc21ffcac055fde656249e8a7418fdacab354663882d0d7a5
3
+ size 77623708
EfficientNet-B4_float.onnx.zip CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:15506f7e1994e10b90e812075abf1346dadde6abf95dbc7cd501a99f47cf485a
3
  size 72008669
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f2169f303508188e044cbe815dce5b1063f918379d43c9d8cb197c967fdee71
3
  size 72008669
EfficientNet-B4_w8a16.dlc CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d3bbf94ede073c0686774a88c2e03e00b43f3c37a7fa1ee6a2a347e0e3b23325
3
- size 25228364
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ad3c2d1405a1ff3fb428f283a4681f833a69cbae2c402d7ea547dae8969b271
3
+ size 25228468
README.md CHANGED
@@ -38,35 +38,36 @@ More details on model performance across various devices, can be found
38
 
39
  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
40
  |---|---|---|---|---|---|---|---|---|
41
- | EfficientNet-B4 | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 12.185 ms | 0 - 68 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
42
- | EfficientNet-B4 | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 11.873 ms | 0 - 36 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
43
- | EfficientNet-B4 | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 6.975 ms | 0 - 85 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
44
- | EfficientNet-B4 | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 7.775 ms | 1 - 49 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
45
- | EfficientNet-B4 | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 3.316 ms | 0 - 426 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
46
- | EfficientNet-B4 | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 3.162 ms | 0 - 60 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
47
- | EfficientNet-B4 | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 3.263 ms | 0 - 138 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
48
- | EfficientNet-B4 | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 4.379 ms | 0 - 67 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
49
- | EfficientNet-B4 | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 4.203 ms | 0 - 35 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
50
- | EfficientNet-B4 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 2.415 ms | 0 - 84 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
51
- | EfficientNet-B4 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 2.334 ms | 1 - 52 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
52
- | EfficientNet-B4 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 2.357 ms | 0 - 51 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
53
- | EfficientNet-B4 | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 1.95 ms | 0 - 72 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
54
- | EfficientNet-B4 | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 1.83 ms | 1 - 42 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
55
- | EfficientNet-B4 | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 1.927 ms | 0 - 40 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
56
- | EfficientNet-B4 | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 1.587 ms | 0 - 71 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
57
- | EfficientNet-B4 | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 1.51 ms | 0 - 41 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
58
- | EfficientNet-B4 | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 1.658 ms | 0 - 41 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
59
- | EfficientNet-B4 | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 3.448 ms | 277 - 277 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
60
- | EfficientNet-B4 | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 3.252 ms | 45 - 45 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
61
- | EfficientNet-B4 | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 6.532 ms | 0 - 61 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
62
- | EfficientNet-B4 | w8a16 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 4.11 ms | 0 - 74 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
63
- | EfficientNet-B4 | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 3.441 ms | 0 - 17 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
64
- | EfficientNet-B4 | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 16.631 ms | 0 - 60 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
65
- | EfficientNet-B4 | w8a16 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | QNN_DLC | 12.813 ms | 0 - 106 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
66
- | EfficientNet-B4 | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 2.297 ms | 0 - 80 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
67
- | EfficientNet-B4 | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 1.597 ms | 0 - 66 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
68
- | EfficientNet-B4 | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 1.331 ms | 0 - 66 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
69
- | EfficientNet-B4 | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 3.78 ms | 91 - 91 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
 
70
 
71
 
72
 
@@ -80,9 +81,9 @@ pip install qai-hub-models
80
  ```
81
 
82
 
83
- ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
84
 
85
- Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
86
  Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`.
87
 
88
  With this API token, you can configure your client to run models on the cloud
@@ -90,7 +91,7 @@ hosted devices.
90
  ```bash
91
  qai-hub configure --api_token API_TOKEN
92
  ```
93
- Navigate to [docs](https://app.aihub.qualcomm.com/docs/) for more information.
94
 
95
 
96
 
@@ -201,7 +202,7 @@ With the output of the model, you can compute like PSNR, relative errors or
201
  spot check the output with expected output.
202
 
203
  **Note**: This on-device profiling and inference requires access to Qualcomm®
204
- AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
205
 
206
 
207
 
 
38
 
39
  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
40
  |---|---|---|---|---|---|---|---|---|
41
+ | EfficientNet-B4 | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 12.242 ms | 0 - 69 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
42
+ | EfficientNet-B4 | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 11.876 ms | 0 - 37 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
43
+ | EfficientNet-B4 | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 6.888 ms | 0 - 88 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
44
+ | EfficientNet-B4 | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 7.634 ms | 0 - 53 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
45
+ | EfficientNet-B4 | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 3.323 ms | 0 - 425 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
46
+ | EfficientNet-B4 | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 3.187 ms | 0 - 19 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
47
+ | EfficientNet-B4 | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 3.288 ms | 1 - 13 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
48
+ | EfficientNet-B4 | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 4.343 ms | 0 - 69 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
49
+ | EfficientNet-B4 | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 4.187 ms | 0 - 37 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
50
+ | EfficientNet-B4 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 2.423 ms | 0 - 85 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
51
+ | EfficientNet-B4 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 2.344 ms | 1 - 49 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
52
+ | EfficientNet-B4 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 2.355 ms | 0 - 50 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
53
+ | EfficientNet-B4 | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 1.945 ms | 0 - 73 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
54
+ | EfficientNet-B4 | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 1.827 ms | 1 - 44 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
55
+ | EfficientNet-B4 | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 1.926 ms | 0 - 41 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
56
+ | EfficientNet-B4 | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 1.593 ms | 0 - 72 MB | NPU | [EfficientNet-B4.tflite](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.tflite) |
57
+ | EfficientNet-B4 | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 1.517 ms | 0 - 42 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
58
+ | EfficientNet-B4 | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 1.695 ms | 0 - 41 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
59
+ | EfficientNet-B4 | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 3.478 ms | 272 - 272 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.dlc) |
60
+ | EfficientNet-B4 | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 3.247 ms | 45 - 45 MB | NPU | [EfficientNet-B4.onnx.zip](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4.onnx.zip) |
61
+ | EfficientNet-B4 | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 6.573 ms | 0 - 58 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
62
+ | EfficientNet-B4 | w8a16 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 4.134 ms | 0 - 72 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
63
+ | EfficientNet-B4 | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 3.393 ms | 0 - 16 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
64
+ | EfficientNet-B4 | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 16.502 ms | 0 - 59 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
65
+ | EfficientNet-B4 | w8a16 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | QNN_DLC | 13.101 ms | 0 - 113 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
66
+ | EfficientNet-B4 | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 2.283 ms | 0 - 78 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
67
+ | EfficientNet-B4 | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 1.591 ms | 0 - 65 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
68
+ | EfficientNet-B4 | w8a16 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | QNN_DLC | 3.637 ms | 0 - 68 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
69
+ | EfficientNet-B4 | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 1.318 ms | 0 - 65 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
70
+ | EfficientNet-B4 | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 3.744 ms | 109 - 109 MB | NPU | [EfficientNet-B4.dlc](https://huggingface.co/qualcomm/EfficientNet-B4/blob/main/EfficientNet-B4_w8a16.dlc) |
71
 
72
 
73
 
 
81
  ```
82
 
83
 
84
+ ## Configure Qualcomm® AI Hub Workbench to run this model on a cloud-hosted device
85
 
86
+ Sign-in to [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.com/) with your
87
  Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`.
88
 
89
  With this API token, you can configure your client to run models on the cloud
 
91
  ```bash
92
  qai-hub configure --api_token API_TOKEN
93
  ```
94
+ Navigate to [docs](https://workbench.aihub.qualcomm.com/docs/) for more information.
95
 
96
 
97
 
 
202
  spot check the output with expected output.
203
 
204
  **Note**: This on-device profiling and inference requires access to Qualcomm®
205
+ AI Hub Workbench. [Sign up for access](https://myaccount.qualcomm.com/signup).
206
 
207
 
208
 
tool-versions.yaml CHANGED
@@ -1,3 +1,3 @@
1
  tool_versions:
2
  qnn_dlc:
3
- qairt: 2.39.0.250925215840_163802
 
1
  tool_versions:
2
  qnn_dlc:
3
+ qairt: 2.40.0.251030114326_189385