metadata
language: en
license: mit
tags:
- ner
widget:
- text: These shoes from Tommy Hilfiger fit quite well sincerely, Oscar
Description
A Named Entity Recognition model trained on a customer feedback data using DistilBert. Possible labels are in BIO-notation:
- PROD: for certain products
- BRND: for brands
- PERS: people names
The following tags are simply in place to help better categorize the previous tags
- MATR: relating to materials, e.g. cloth, leather, seam, etc.
- TIME: time related entities
- MISC: any other entities that might skew ther results
Usage
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("CouchCat/ma_ner_v7_distil")
model = AutoModelForTokenClassification.from_pretrained("CouchCat/ma_ner_v7_distil")