Update README.md

README.md

@@ -79,6 +79,10 @@ MRR = 0.3
 
 Further details can be found in the paper.
 
+# Other Models from same work
+
+[DBART](https://huggingface.co/varadhbhatnagar/fc-claim-det-DBART)
+[T5-Base](https://huggingface.co/varadhbhatnagar/fc-claim-det-T5-base)
 
 # Citation
 
@@ -114,9 +118,20 @@ Email: varadhbhatnagar@gmail.com
 
 Use the code below to get started with the model.
 
-<details>
-<summary> Click to expand </summary>
-
-{{ get_started_code | default("[More Information Needed]", true)}}
-
-</details>
+```
+from transformers import PegasusForConditionalGeneration, PegasusTokenizerFast
+tokeizer = PegasusTokenizerFast.from_pretrained('varadhbhatnagar/fc-claim-det-DPEGASUS')
+model = PegasusForConditionalGeneration.from_pretrained('varadhbhatnagar/fc-claim-det-DPEGASUS')
+
+text ='world health organisation has taken a complete u turn and said that corona patients neither need isolate nor quarantine nor social distance and it can not even transmit from one patient to another'
+tokenized_text = tokeizer.encode(text, return_tensors="pt").to(device)
+
+summary_ids = model.generate(tokenized_text,
+                                  num_beams=6,
+                                  no_repeat_ngram_size=2,
+                                  min_length=5,
+                                  max_length=15,
+                                  early_stopping=True)
+
+output = tokenizer.decode(summary_ids[0], skip_special_tokens=True) 
+```