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license: mit
pipeline_tag: image-classification
tags:
- image-classification
- pytorch
- appliances
datasets:
- GBooster/imclass-dataset
---
# ImClass Model
Классификатор изображений бытовой техники (5 классов):
laptop, refrigerator, smartphone, tv, washing_machine
## Использование
```python
from huggingface_hub import PyTorchModelHubMixin
import torch.nn as nn
from torchvision import models as tvm
class ImClassModel(nn.Module, PyTorchModelHubMixin):
def __init__(self, num_classes=5):
super().__init__()
base = tvm.resnet18(weights=None)
base.fc = nn.Linear(base.fc.in_features, num_classes)
self.model = base
def forward(self, x):
return self.model(x)
model = ImClassModel.from_pretrained("GBooster/imclass-model")
model.eval()
```
## Обучающие данные
Модель обучена на [GBooster/imclass-dataset](https://huggingface.co/datasets/GBooster/imclass-dataset).
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