-
-
Save JaeDukSeo/d8eeb1979d35c7670de045a78bcd9fbc to your computer and use it in GitHub Desktop.
example code for running GPT-Neo
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
""" | |
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() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment