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1from transformers import GPT2LMHeadModel, GPT2Tokenizer
2
3model = GPT2LMHeadModel.from_pretrained('anasalter/dante-inferno-gpt2')
4tokenizer = GPT2Tokenizer.from_pretrained('anasalter/dante-inferno-gpt2')
5
6prompt = "In the middle of"
7inputs = tokenizer(prompt, return_tensors='pt')
8outputs = model.generate(
9 inputs['input_ids'],
10 attention_mask=inputs['attention_mask'],
11 max_length=100,
12 temperature=0.8,
13 do_sample=True,
14 pad_token_id=tokenizer.pad_token_id
15)
16print(tokenizer.decode(outputs[0], skip_special_tokens=True))