File size: 887 Bytes
b65604f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | from rosaplus import ROSAPlus
# import requests
# # Train on Shakespare
# url = "https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt"
# # Download the text
# response = requests.get(url)
# text = response.text
# print("Downloaded text.")
# m2 = ROSAPlus.load("rosa-model.json")
# prompt = "ROMEO:" # Novel text
# max_tokens = 256
# print(prompt + m2.generate(prompt, steps=max_tokens))
with open('tinyshakespeare.txt', "r", encoding='UTF-8') as f:
text = f.read()
# Initialize model
m = ROSAPlus(max_order=1048576, use_eot=False, seed=0)
m.train_example(text) # Train ROSA
m.build_lm() # Train fallback predictor
# Prompting
prompt = "ROMEO:" # Novel text
max_tokens = 256
# Eval mode
print(prompt + m.generate(prompt, steps=max_tokens))
# Saving model
m.save("rosa-model.json")
m2 = ROSAPlus.load("rosa-model.json") # Loading model
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