Update README.md

README.md

@@ -14,8 +14,17 @@ tags:
 This fine tunned model will do sentiment analysis,based on 6 sentiments - 
 sadness (0), joy (1), love (2), anger (3), fear (4), surprise (5)
 
-Download Colab Notebook "FineTunnedBertBaseModel_Use.ipynb" for step by step guidance, which is in "Files and Versions" section.
-
+Download and run Colab Notebook "FineTunnedBertBaseModel_Use.ipynb" for step by step guidance, which is in "Files and Versions" section.
+When you run above google colab file you will require following 3 files which is in "Files and versions" section
+1. model.index
+2. checkpoint
+3. model.data-00000-of-00001
+Create a folder on you google drive name, folder name should be "model2.1" and save all these 3 files in it.
+If you want to change folder name instead of model2.1, you want folder name should be "sentimentXYZ" then you have to change
+line "classifier_2.load_weights('/content/drive/MyDrive/FineTunning2/model2.1/model')" in "FineTunnedBertBaseModel_Use.ipynb" to
+"classifier_2.load_weights('/content/drive/MyDrive/FineTunning2/setimentXYZ/model')" this is the path of your save weights on
+In the following path '/content/drive/MyDrive/FineTunning2/model2.1/model'
+ 
 Overview 
 BaseModel : "bert-base-uncased"
 DataSet: dair-ai/emotion