---
tags:
  - flair
  - token-classification
  - sequence-tagger-model
---

### Demo: How to use in Flair

Requires:

- **[Flair](https://github.com/flairNLP/flair/)>=0.14.0** (`pip install flair` or `pip install git+https://github.com/flairNLP/flair.git`)

```python
from flair.data import Sentence
from flair.nn import Classifier
from flair.tokenization import SciSpacyTokenizer

# load tagger
tagger = Classifier.load("regel-corpus/hunflair2-regel-tissue")

# make example sentence
sentence = Sentence("TNF-like factor that is both produced by osteoblasts, mesenchymal cells, "
    "and activated T cells and required for osteoclast maturation and survival."
    use_tokenizer=SciSpacyTokenizer())

# predict NER tags
tagger.predict(sentence)

# print sentence
print(sentence)

# print predicted NER spans
print('The following NER tags are found:')

# iterate over entities and print
for entity in sentence.get_spans('ner'):
    print(entity)
```