| # how to use |
|
|
| ```python |
| # !pip install transformers |
| import torch.nn as nn |
| import torch.nn.functional as F |
| from huggingface_hub import PyTorchModelHubMixin |
| |
| class Net(nn.Module,PyTorchModelHubMixin): |
| def __init__(self): |
| super().__init__() |
| self.conv1 = nn.Conv2d(3, 6, 5) |
| self.pool = nn.MaxPool2d(2, 2) |
| self.conv2 = nn.Conv2d(6, 16, 5) |
| self.fc1 = nn.Linear(16 * 5 * 5, 120) |
| self.fc2 = nn.Linear(120, 84) |
| self.fc3 = nn.Linear(84, 10) |
| |
| def forward(self, x): |
| x = self.pool(F.relu(self.conv1(x))) |
| x = self.pool(F.relu(self.conv2(x))) |
| x = torch.flatten(x, 1) # flatten all dimensions except batch |
| x = F.relu(self.fc1(x)) |
| x = F.relu(self.fc2(x)) |
| x = self.fc3(x) |
| return x |
| |
| net = Net.from_pretrained('Adapting/cifar10-image-classification') |
| |
| ``` |
|
|
| example codes for testing the model: [link](https://colab.research.google.com/drive/10xjbgSzw-U1Y4vCot5aqqdOi7AhmIkC3?usp=sharing) |
