Update README.md

README.md

@@ -6,5 +6,19 @@ language:
 pipeline_tag: token-classification
 ---
 
+# Model description
 We propose a task that aims to enable data-efficient and fast updates to KG embeddings without damaging the performance of the rest. 
-We provide four experimental edit object models of the PT-KGE in the paper experiments.
+We provide four experimental edit object models of the PT-KGE in the paper experiments used.
+
+### How to use
+
+You can use this model directly with a pipeline for masked language modeling:
+
+```python
+>>> from transformers import BertForMaskedLM
+>>> model = BertForMaskedLM.from_pretrained(pretrained_model_name_or_path="ChancesYuan/PT-KGE_E-FB15k237", subfolder="PT_KGE_E-FB15k237")
+```
+
+Here is how to use this model:
+
+```python