许可证: mit
语言:

• 俄语

RUPunct_small 是 RUPunct 系列中最小的模型。它非常适合处理简单文本以及在 CPU 上需要高速运行的场景。

推理代码:

from transformers import pipeline  
from transformers import AutoTokenizer  

pt = "RUPunct/RUPunct_small"  

tk = AutoTokenizer.from_pretrained(pt, strip_accents=False, add_prefix_space=True)  
classifier = pipeline("ner", model=pt, tokenizer=tk, aggregation_strategy="first")  


def process_token(token, label):  
    if label == "LOWER_O":  
        return token  
    if label == "LOWER_PERIOD":  
        return token + "."  
    if label == "LOWER_COMMA":  
        return token + ","  
    if label == "LOWER_QUESTION":  
        return token + "?"  
    if label == "LOWER_TIRE":  
        return token + "—"  
    if label == "LOWER_DVOETOCHIE":  
        return token + ":"  
    if label == "LOWER_VOSKL":  
        return token + "!"  
    if label == "LOWER_PERIODCOMMA":  
        return token + ";"  
    if label == "LOWER_DEFIS":  
        return token + "-"  
    if label == "LOWER_MNOGOTOCHIE":  
        return token + "..."  
    if label == "LOWER_QUESTIONVOSKL":  
        return token + "?!"  
    if label == "UPPER_O":  
        return token.capitalize()  
    if label == "UPPER_PERIOD":  
        return token.capitalize() + "."  
    if label == "UPPER_COMMA":  
        return token.capitalize() + ","  
    if label == "UPPER_QUESTION":  
        return token.capitalize() + "?"  
    if label == "UPPER_TIRE":  
        return token.capitalize() + " —"  
    if label == "UPPER_DVOETOCHIE":  
        return token.capitalize() + ":"  
    if label == "UPPER_VOSKL":  
        return token.capitalize() + "!"  
    if label == "UPPER_PERIODCOMMA":  
        return token.capitalize() + ";"  
    if label == "UPPER_DEFIS":  
        return token.capitalize() + "-"  
    if label == "UPPER_MNOGOTOCHIE":  
        return token.capitalize() + "..."  
    if label == "UPPER_QUESTIONVOSKL":  
        return token.capitalize() + "?!"  
    if label == "UPPER_TOTAL_O":  
        return token.upper()  
    if label == "UPPER_TOTAL_PERIOD":  
        return token.upper() + "."  
    if label == "UPPER_TOTAL_COMMA":  
        return token.upper() + ","  
    if label == "UPPER_TOTAL_QUESTION":  
        return token.upper() + "?"  
    if label == "UPPER_TOTAL_TIRE":  
        return token.upper() + " —"  
    if label == "UPPER_TOTAL_DVOETOCHIE":  
        return token.upper() + ":"  
    if label == "UPPER_TOTAL_VOSKL":  
        return token.upper() + "!"  
    if label == "UPPER_TOTAL_PERIODCOMMA":  
        return token.upper() + ";"  
    if label == "UPPER_TOTAL_DEFIS":  
        return token.upper() + "-"  
    if label == "UPPER_TOTAL_MNOGOTOCHIE":  
        return token.upper() + "..."  
    if label == "UPPER_TOTAL_QUESTIONVOSKL":  
        return token.upper() + "?!"  

while 1:  
    input_text = input(":> ")  
    preds = classifier(input_text)  
    output = ""  
    for item in preds:  
        output += " " + process_token(item['word'].strip(), item['entity_group'])  
    print(">>>", output)