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Daya Guo 2023-10-26 18:49:01 +08:00 committed by GitHub
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@ -135,9 +135,9 @@ class IrisClassifier(nn.Module):
return predicted.numpy() return predicted.numpy()
#main.py #main.py
from utils import load_data, evaluate_predictions from utils import load_data, evaluate_predictions
from model import IrisClassifier from model import IrisClassifier as Classifier
def pipeline(): def main():
# Model training and evaluation # Model training and evaluation
""" """
inputs = tokenizer.encode(input_text, return_tensors="pt").to(device) inputs = tokenizer.encode(input_text, return_tensors="pt").to(device)