Description

A Named Entity Recognition model trained on a customer feedback data using DistilBert. Possible labels are in BIO-notation. Performance of the PERS tag could be better because of low data samples:

• 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 entity that might skew the 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")