Update README.md

README.md

@@ -7,7 +7,7 @@ datasets:
 - ner-uk
 license: mit
 model-index:
-- name: roberta-uk-ner-large
+- name: uk_ner_web_trf_large
   results:
   - task:
       name: NER
@@ -25,15 +25,16 @@ model-index:
 widget:
 - text: "Президент Володимир Зеленський пояснив, що наразі діалог із режимом Володимира путіна неможливий, адже агресор обрав курс на знищення українського народу. За словами Зеленського цей режим РФ виявляє неповагу до суверенітету і територіальної цілісності України."
 ---
-# roberta-uk-ner-large
+# uk_ner_web_trf_large
 
 ## Model description
 
-**roberta-uk-ner-large** is a fine-tuned [XLM-Roberta model](https://huggingface.co/xlm-roberta-large) that is ready to use for **Named Entity Recognition** and achieves a **SoA** performance for the NER task for Ukrainian language. It outperforms another SpaCy model, [uk_core_news_trf](https://huggingface.co/ukr-models/uk_core_news_trf) on a NER task.
+**uk_ner_web_trf_large** is a fine-tuned [XLM-Roberta model](https://huggingface.co/xlm-roberta-large) that is ready to use for **Named Entity Recognition** and achieves a **SoA** performance for the NER task for Ukrainian language. It outperforms another SpaCy model, [uk_core_news_trf](https://huggingface.co/ukr-models/uk_core_news_trf) on a NER task.
 
 It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PERS) and Miscellaneous (MISC). 
 
 The model was fine-tuned on the [NER-UK dataset](https://github.com/lang-uk/ner-uk), released by the [lang-uk](https://lang.org.ua).
+Smaller transformer based model for the SpaCy is available [here](https://huggingface.co/dchaplinsky/uk_ner_web_trf_base).
 
 
 Copyright: Dmytro Chaplynskyi, [lang-uk project](https://lang.org.ua), 2022