Create README.md

**Model description**
est-roberta-ud-ner is an [Est-RoBERTa](https://huggingface.co/EMBEDDIA/est-roberta) based model fine-tuned for named entity recognition on the [EDT](https://github.com/UniversalDependencies/UD_Estonian-EDT) and [EWT](https://github.com/UniversalDependencies/UD_Estonian-EWT) datasets.

**How to use**
You can use this model with Transformers pipeline for NER.
```
from transformers import pipeline

ner = pipeline("ner", model="vbius01/est-roberta-ud-ner")

text = "Eesti kuulub erinevalt Lätist ja Leedust kahtlemata Põhjamaade kultuuriruumi."
results = ner(text)

print(results)
```
```
[{'entity': 'B-GEP', 'score': np.float32(0.99339926), 'index': 1, 'word': '▁Eesti', 'start': 0, 'end': 5}, {'entity': 'B-GEP', 'score': np.float32(0.9923631), 'index': 4, 'word': '▁Lätist', 'start': 22, 'end': 29}, {'entity': 'B-GEP', 'score': np.float32(0.990756), 'index': 6, 'word': '▁Leedust', 'start': 32, 'end': 40}, {'entity': 'B-LOC', 'score': np.float32(0.61792), 'index': 8, 'word': '▁Põhjamaade', 'start': 51, 'end': 62}]
```

README.md

@@ -0,0 +1,10 @@
+---
+language:
+- et
+base_model:
+- EMBEDDIA/est-roberta
+pipeline_tag: token-classification
+library_name: transformers
+tags:
+- NER
+---