Update README.md

README.md

@@ -14,7 +14,7 @@ tags:
 - sentiment extraction
 - question-answering
 ---
-🚀 Meet the first multi-task prompt-tumable GLiNER model 🚀
+🚀 Meet the first multi-task prompt-tunable GLiNER model 🚀
 
 **GLiNER-Multitask** is a model designed to extract various pieces of information from plain text based on a user-provided custom prompt. This versatile model leverages a bidirectional transformer encoder, similar to BERT, which ensures both high generalization and compute efficiency despite its compact size.
 
@@ -73,7 +73,7 @@ for entity in entities:
     print(entity["label"], “=>”, entity["text"])
 ```
 ### Construct relations extraction pipeline with [utca](https://github.com/Knowledgator/utca)
-First of all, we need import neccessary components of the library and initalize predictor - GLiNER model and construct pipeline that combine NER and realtions extraction:
+First of all, we need import neccessary components of the library and initalize predictor - GLiNER model and construct pipeline that combines NER and realtions extraction:
 ```python
 from utca.core import RenameAttribute
 from utca.implementation.predictors import (