
# Resnet50 Model from Torchvision

## Using the model

```
pip install modelz
```

```python
from modelz import ResnetModel

model = ResnetModel.from_pretrained('nateraw/resnet50')
ex_input = torch.rand(4, 3, 224, 224)
out = model(ex_input)
```
{"tags": ["image-classification", "pytorch"], "datasets": ["imagenet"]}
transformers pytorch resnet image-classification dataset:imagenet endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #resnet #image-classification #dataset-imagenet #endpoints_compatible #has_space #region-us 


# Resnet50 Model from Torchvision

## Using the model




# Resnet50 Model from Torchvision ## Using the model
TAGS
#transformers #pytorch #resnet #image-classification #dataset-imagenet #endpoints_compatible #has_space #region-us 
 # Resnet50 Model from Torchvision ## Using the model
passage: TAGS
#transformers #pytorch #resnet #image-classification #dataset-imagenet #endpoints_compatible #has_space #region-us 
# Resnet50 Model from Torchvision## Using the model