23 lines
796 B
Python
23 lines
796 B
Python
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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def main():
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model_name="Norod78/distilgpt2-base-pretrained-he"
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prompt_text = "שלום, קוראים לי"
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generated_max_length = 192
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print("Loading model...")
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model = AutoModelForCausalLM.from_pretrained(model_name)
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print('Loading Tokenizer...')
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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text_generator = pipeline(task="text-generation", model=model, tokenizer=tokenizer)
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print("Generating text...")
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result = text_generator(prompt_text, num_return_sequences=1, batch_size=1, do_sample=True, top_k=40, top_p=0.92, temperature = 1, repetition_penalty=5.0, max_length = generated_max_length)
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print("result = " + str(result))
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if __name__ == '__main__':
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main()
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