Bert Addresses

🚀 模型卡片 - 模型ID

本模型旨在對名稱、組織和地址進行標註。它使用了來自Conll、ontonotes5的組合數據，以及一個自制的自定義地址數據集。對標籤進行了清理，能夠檢測美國地址。標籤列表為：["O", "B-ORG", "I-ORG", "B-PER", "I-PER", 'B-addr', 'I-addr']

模型描述

🚀 快速開始

直接使用

from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline
tokenizer = AutoTokenizer.from_pretrained('bert-base-cased')
model = AutoModelForTokenClassification.from_pretrained("ctrlbuzz/bert-addresses")
nlp = pipeline("ner", model=model, tokenizer=tokenizer)
example = "While Maria was representing Johnson & Associates at a conference in Spain, she mailed me a letter from her new office at 123 Elm St., Apt. 4B, Springfield, IL.",

print(nlp(example))

參考鏈接

• 模型卡片元數據規範：https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
• 文檔/指南：https://huggingface.co/docs/hub/model-cards