YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
Model Card for ombayus_iris_model
import torch
import torch.nn as nn
import torch.nn.functional as F
class Model(nn.Module):
def __init__(self,in_features=4,h1=8,h2=9,out_feauteres=3):
super().__init__() # instantiate our nn.Module
self.fc1 = nn.Linear(in_features,h1)
self.fc2 = nn.Linear(h1,h2)
self.out = nn.Linear(h2,out_feauteres)
def forward(self,x):
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = self.out(x)
return x
def number_to_follower(x):
if x == 0:
return'Setosa'
elif x == 1:
return 'Versicolor'
elif x == 2:
return 'Virginica'
model = Model()
model.load_state_dict(torch.load('ombayus_iris_model.pt'))
new_iris = torch.tensor([5.9,3.0,5.1,1.8])
with torch.no_grad():
print(number_to_follower(model(new_iris).argmax().item()))