pytorch distilbert token-classification en transformers license:mit ner
.gitattributes README.md config.json pytorch_model.bin special_tokens_map.json tokenizer_config.json vocab.txt
---
language: en
license: mit
tags:
- ner
widget:
- text: "These shoes from Adidas fit quite well"
---

### Description
A Named Entity Recognition model trained on a customer feedback data using DistilBert.
Possible labels are:
- PRD: for certain products
- BRND: for brands

### Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
  
  tokenizer = AutoTokenizer.from_pretrained("CouchCat/ma_ner_v6_distil")
  
  model = AutoModelForTokenClassification.from_pretrained("CouchCat/ma_ner_v6_distil")
```