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from transformers import pipeline, set_seed

path = "akahana/harry-potter-gpt2"
generator = pipeline('text-generation',
                     model=path)
set_seed(42)

kalimat = "sec"
preds = generator(kalimat,
                  max_length=25,
                  num_return_sequences=1)
for data in preds:
  print(data)

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Model size

1.75M params

Tensor type

F32

Inference Examples

Text Generation

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