Spaces:
Runtime error
Runtime error
File size: 707 Bytes
3acd84d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 8 13:48:19 2024
@author: firis
"""
import torch
import torchvision
from torch import nn
def create_eff_model(num_classes:int=3,seed:int=42):
weights=torchvision.models.EfficientNet_B1_Weights.DEFAULT
transforms=weights.transforms()
model =torchvision.models.efficientnet_b1(weights=weights)
# Freeze all layers in base model
for param in model.parameters():
param.requires_grad = False
torch.manual_seed(seed)
model.classifier = nn.Sequential(
nn.Dropout(p=0.3, inplace=True),
nn.Linear(in_features=1280, out_features=num_classes))
return model, transforms
|