Update README.md

README.md

@@ -4,15 +4,10 @@ tags:
 - Clsssification
 license: apache-2.0
 datasets:
-- tensorflow
+- surprise
 - numpy
 - keras
 - pandas
-- openpyxl
-- gensin
-- contractions
-- nltk
-- spacy
 thumbnail: https://github.com/Marcosdib/S2Query/Classification_Architecture_model.png
 ---
 
@@ -69,7 +64,13 @@ Note that this model is primarily aimed at being fine-tuned on tasks that use th
 to make decisions, such as sequence classification, token classification or question answering. For tasks such as text
 generation you should look at model like XXX.
 ### How to use
+```python
+>>> import pandas as pd
+>>> import numpy as np
 
+class Data:
+  def_init_(self):
+    
 ### Limitations and bias
 In this model we have faced some obstacles that we had overcome, but some of those, by the nature of the project, couldn't be totally solved.
 Due the fact that our dataset was build it by ourselves, there was no interaction yet between a user and the dataset, therefore we don't have