zugb-materials-extra/run2.py
2023-06-19 19:01:55 +02:00

30 lines
736 B
Python
Executable File

#!/usr/bin/python3
from transformers import GPT2LMHeadModel, GPT2Tokenizer
import torch
device = 'cuda:0'
# Inicjalizacja tokenizera i modelu
tokenizer = GPT2Tokenizer.from_pretrained("gpt2-medium")
model = GPT2LMHeadModel.from_pretrained("gpt2-medium").to(device)
model.half()
# Tekst, który chcesz kontynuować
input_text = "Yesterday morning, a flying saucer has landed in Poznan and rt"
# Kodowanie tekstu wejściowego
input_ids = tokenizer.encode(input_text, return_tensors='pt').to(device)
# Generowanie tekstu
output = model(input_ids)
distrib = torch.softmax(output[0][0][-1], dim=0)
values, indices = torch.topk(distrib, 11)
for val, idx in zip(values, indices):
print(f'{tokenizer.decode([idx])} {idx} {val}')