keras gpt 2
1.0.0
[中文 | Inglés]
Cargar pesos previos a la aparición y predecir con GPT-2.
pip install keras-gpt-2 import os
from keras_gpt_2 import load_trained_model_from_checkpoint , get_bpe_from_files , generate
model_folder = 'xxx/yyy/117M'
config_path = os . path . join ( model_folder , 'hparams.json' )
checkpoint_path = os . path . join ( model_folder , 'model.ckpt' )
encoder_path = os . path . join ( model_folder , 'encoder.json' )
vocab_path = os . path . join ( model_folder , 'vocab.bpe' )
print ( 'Load model from checkpoint...' )
model = load_trained_model_from_checkpoint ( config_path , checkpoint_path )
print ( 'Load BPE from files...' )
bpe = get_bpe_from_files ( encoder_path , vocab_path )
print ( 'Generate text...' )
output = generate ( model , bpe , [ 'From the day forth, my arm' ], length = 20 , top_k = 1 )
# If you are using the 117M model and top_k equals to 1, then the result will be:
# "From the day forth, my arm was broken, and I was in a state of pain. I was in a state of pain,"
print ( output [ 0 ])