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README.md

@@ -1,30 +1,18 @@
 ---
-license: apache-2.0
+license: bsd-3-clause
 tags:
   - image-classification
   - vision
-base_model:
-  - timm/mobilenetv2_120d.ra_in1k
-base_model_relation: quantized
 ---
 
-# mobilenetv2_120d_ra_in1k-int8-ov
+# efficientnet_b7-fp16-ov
 
-- Model creator: [timm](https://huggingface.co/timm)
-- Original model: [timm/mobilenetv2_120d.ra_in1k](https://huggingface.co/timm/mobilenetv2_120d.ra_in1k)
+- Model creator: [torchvision](https://github.com/pytorch/vision)
+- Original model: [efficientnet_b7](https://docs.pytorch.org/vision/main/models/generated/torchvision.models.efficientnet_b7.html)
 
 ## Description
 
-This is [timm/mobilenetv2_120d.ra_in1k](https://huggingface.co/timm/mobilenetv2_120d.ra_in1k) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8 by [NNCF](https://github.com/openvinotoolkit/nncf).
-
-## Quantization Parameters
-
-Weight compression was performed using nncf.quantize with the following parameters:
-
-- **Quantization method**: Post-Training Quantization (PTQ)
-- **Precision**: INT8 for both weights and activations
-
-For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2026/openvino-workflow/model-optimization-guide/quantizing-models-post-training.html).
+This is a torchvision version of [efficientnet_b7](https://docs.pytorch.org/vision/main/models/generated/torchvision.models.efficientnet_b7.html) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to FP16.
 
 ## Compatibility
 
@@ -51,7 +39,7 @@ from model_api.models import Model
 from model_api.visualizer import Visualizer
 
 # 1. Load model
-model = Model.from_pretrained("OpenVINO/mobilenetv2_120d_ra_in1k-int8-ov")
+model = Model.from_pretrained("OpenVINO/efficientnet_b7-fp16-ov")
 
 # 2. Load image
 image = cv2.imread("image.jpg")
@@ -68,11 +56,11 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model card](https://huggingface.co/timm/mobilenetv2_120d.ra_in1k) for limitations.
+Check the original [model implementation](https://github.com/pytorch/vision) for limitations.
 
 ## Legal information
 
-The original model is distributed under the [apache-2.0](https://spdx.org/licenses/Apache-2.0.html) license. More details can be found in [timm/mobilenetv2_120d.ra_in1k](https://huggingface.co/timm/mobilenetv2_120d.ra_in1k)
+The original model is distributed under the [bsd-3-clause](https://spdx.org/licenses/BSD-3-Clause.html) license. More details can be found in [https://github.com/pytorch/vision](https://github.com/pytorch/vision).
 
 ## Disclaimer