Instructions to use litert-community/squeezenet1_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/squeezenet1_0 with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update metrics and README
#4
by hvt4 - opened
README.md
CHANGED
|
@@ -24,6 +24,13 @@ model-index:
|
|
| 24 |
- name: Top 5 Accuracy (Full Precision)
|
| 25 |
type: accuracy
|
| 26 |
value: 0.8044
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 27 |
---
|
| 28 |
|
| 29 |
# Squeezenet1_0
|
|
|
|
| 24 |
- name: Top 5 Accuracy (Full Precision)
|
| 25 |
type: accuracy
|
| 26 |
value: 0.8044
|
| 27 |
+
- name: Top 1 Accuracy (Dynamic Quantized wi8 afp32)
|
| 28 |
+
type: accuracy
|
| 29 |
+
value: 0.5708
|
| 30 |
+
- name: Top 5 Accuracy (Dynamic Quantized wi8 afp32)
|
| 31 |
+
type: accuracy
|
| 32 |
+
value: 0.7960
|
| 33 |
+
|
| 34 |
---
|
| 35 |
|
| 36 |
# Squeezenet1_0
|