CrabInHoney/

urlbert-tiny-base-v3

from transformers import BertTokenizerFast, BertForMaskedLM, pipeline
import torch

device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
print(f"Используемое устройство: {device}")

model_name = "CrabInHoney/urlbert-tiny-base-v3"

tokenizer = BertTokenizerFast.from_pretrained(model_name)
model = BertForMaskedLM.from_pretrained(model_name)
model.to(device)

fill_mask = pipeline(
    "fill-mask",
    model=model,
    tokenizer=tokenizer,
    device=0 if torch.cuda.is_available() else -1
)

sentences = [
    "http://example.[MASK]/"
]

for sentence in sentences:
    print(f"\nИсходное предложение: {sentence}")
    results = fill_mask(sentence)
    for result in results:
        token_str = result['token_str']
        score = result['score']
        print(f"Предсказанное слово: {token_str}, вероятность: {score:.4f}")