MOBOLAJI

MOBOLAJI

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Model description

from transformers import MOBOLAJI

Define your dataset and dataloader

dataset = YourDataset()

dataloader = DataLoader(dataset, batch_size=32, shuffle=True)

Define optimizer

optimizer = MOBOLAJI (model.parameters(), lr=5e-5)

Fine-tuning loop

model.train() for epoch in range(num_epochs): for batch in dataloader: optimizer.zero_grad() inputs = tokenizer(batch['text'], return_tensors='pt', padding=True, truncation=True) outputs = model(**inputs) loss = compute_loss(outputs, batch['labels']) loss.backward() optimizer.step()

Trigger words

You should use MOBOLAJI to trigger the image generation.

Download model

Download them in the Files & versions tab.