Created
May 25, 2021 21:16
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example code for running GPT-Neo
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""" | |
Invode the conda environment gpt_neo_generation before running this file. | |
Specify the prompt in prompt.txt | |
""" | |
from transformers import GPTNeoForCausalLM, GPT2Tokenizer | |
import time | |
def main(): | |
start_time = time.time() | |
model = GPTNeoForCausalLM.from_pretrained("EleutherAI/gpt-neo-1.3B") | |
tokenizer = GPT2Tokenizer.from_pretrained("EleutherAI/gpt-neo-1.3B") | |
num_times = 1 | |
temperature = 0.9 | |
max_length = 2000 | |
f = open("prompt.txt", "r") | |
prompt = f.read() | |
prompt = prompt.strip() | |
for i in range(num_times): | |
input_ids = tokenizer(prompt, return_tensors="pt").input_ids | |
gen_tokens = model.generate(input_ids, do_sample=True, temperature=temperature, max_length=max_length) | |
gen_text = tokenizer.batch_decode(gen_tokens)[0] | |
print(gen_text) | |
print("="*30) | |
time_spent = time.time() - start_time | |
print(f'spent {time_spent:.2f} seconds.') | |
if __name__ == "__main__": | |
main() |
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