Internal change

PiperOrigin-RevId: 463467924

official/projects/waste_identification_ml/pre_trained_models.md

@@ -11,18 +11,15 @@ Mask RCNN is a state-of-art deep learning model for instance image segmentation,
 - Material Form model - Detects the category of the of an object according to its physical product formation (e.g. cup, plate, pen, etc).
 - Plastic model - Detects the category of a object according to its plastic types (e.g. HDPE, LDPE, etc)
 
-> The goal to develop these models is to bring transparency & traceability in the world of  waste recycling. 
+> The goal to develop these models is to bring transparency & traceability in the world of  waste recycling.
 
 ## Model paths in GCP buckets
 
 | Model categories | Model backbone | Model type | GCP bucket path |
 | ------ | ------ | ----- | ------ |
-| Material Model | Resnet | saved model | gs://official_release/version_1/material_model/saved_model/ |
-| | | TFLite | gs://official_release/version_1/material_model/tflite_model/ |
-| Material Form model | Resnet | saved model | gs://official_release/version_1/material_form_model/saved_model/ |
-| | |TFLite | gs://official_release/version_1/material_form_model/tflite_model/ |
-|Plastic model | Resnet| saved model | gs://official_release/version_1/plastic_types_model/saved_model/ |
-| | |TFLite | gs://official_release/version_1/plastic_types_model/tflite_model/ |
+| Material Model | Resnet | saved model & TFLite | [click here](https://storage.googleapis.com/tf_model_garden/vision/waste_identification_ml/material_model.zip) |
+| Material Form model | Resnet | saved model & TFLite | [click here](https://storage.googleapis.com/tf_model_garden/vision/waste_identification_ml/material_form_model.zip) |
+|Plastic model | Resnet| saved model & TFLite | [click here](https://storage.googleapis.com/tf_model_garden/vision/waste_identification_ml/plastic_types_model.zip) |
 
 ## Installation & Download