Push Keras model using huggingface_hub.

.gitattributes

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 nanodet-plus-m-x1.5-416_quant.keras filter=lfs diff=lfs merge=lfs -text
 PTQ_W8A8.keras filter=lfs diff=lfs merge=lfs -text
+variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,25 +1,15 @@
 ---
-license: apache-2.0
-datasets:
-- detection-datasets/coco
-language:
-- en
 library_name: keras
-framework_version: 2.13
 ---
 
-# Model card for keras_nanodet_plus_x1.5_416x416
+## Model description
 
-A keras implementation of Nanodet-plus-x1.5 object-detection model, pretrained on COCO dataset.
+More information needed
 
-The implementation is based on [RangiLyu/nanodet](https://github.com/RangiLyu/nanodet), with input resolution of 416x416. The quantized models were generated by [Model Compression Toolkit](https://github.com/sony/model_optimization).
+## Intended uses & limitations
 
+More information needed
 
-## Model Quantization
-- **Avaiable quantizated models**
-  - PTQ_W8A8
-- **Accuracy**
-  - Float: 34.1
-  - PTQ_W8A8: 33.2
-- **Size estimation:**  
-  - PTQ W8A8: 2.44MB
+## Training and evaluation data
+
+More information needed

keras_metadata.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:132ca20d1666cfa83b154bd5232189c11bac5eca1552c6137883c7e6c4cc4048
+size 853122

saved_model.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c56b7ae046ffebbfde6cb22b0d0c9c65323a226080762e8fe16d31b630bdc126
+size 6674791

variables/variables.data-00000-of-00001

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ec89d10d08236a1b7fd2c92c46b299f7836768595d80a49c7d753a18d54e113
+size 10344318