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--- |
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license: apache-2.0 |
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datasets: |
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- wikimedia/wikipedia |
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language: |
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- id |
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base_model: |
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- openai-community/gpt2 |
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--- |
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|
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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from transformers import TextStreamer |
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model_name = "akahana/wikipedia-gpt2" |
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model = AutoModelForCausalLM.from_pretrained( |
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model_name, |
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torch_dtype="auto", |
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device_map="auto" |
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) |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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wikipedia_prompt = """Artikel Wikipedia |
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[[Judul]] |
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{} |
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[[Artikel]] |
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{}""" |
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title = "Hal Holbrook" |
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prompt = wikipedia_prompt.format(title, "") |
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model_inputs = tokenizer([prompt], return_tensors="pt").to(model.device) |
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generated_ids = model.generate( |
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**model_inputs, |
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max_new_tokens=512, |
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) |
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generated_ids = [ |
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output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) |
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] |
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] |
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response |
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``` |
