Create README.md

README.md

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+---
+license: mit
+language:
+- ru
+---
+
+RUPunct_small - самая маленькая модель из семейства RUPunct. Идеально подходит для несложных текстов и там, где требуется высокая скорость работы на CPU.
+
+Код инференса:
+```py
+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:
+        if item["word"] == ".":
+            item["entity_group"] = "O"
+        output += " " + process_token(item['word'].strip(), item['entity_group'])
+    print(">>>", output)
+```