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resnet50-example
:In this tutorial, we will show you how to download this ModelKit, extract its contents, and then use the provided code to run the model to classify a given image.
Use the Pull Tag button to download this ModelKit.
Or, read our KitOps documentation to learn how to use kit unpack --filter to download only the components you need.
ModelKit Tag Metadata
- Digest
- Author
- Jozu
- Date added
- Size
- 102.7MB
- Total pulls
- 19
Package
- Name
- ResNet-50-Example
- Version
- 1.0.0
- Authors
- Jozu
- Description
- A simple example using Microsoft's ResNet-50 model for Image Classification
Model
- Name
- ResNet-50
- Path
- ./model/model.safetensors
- License
- Apache-2.0
- Parts
- Path: model/preprocessor_config.jsonType:Path: model/config.jsonType:
- Parameters
N/A
Datasets
- ImageToBeClassified
- ./data/cats_image.jpeg
Codebases
- ./requirements.txt
- Python packages required by this example.
- ./resnet_example.py
- Python code to run this example.
Docs
- ./docs/README.md
- Readme