Create README.md

README.md

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+### Introduction:
+This model belongs to text-classification. You can check whether the sentence consists any emotion.
+### Label Explaination:
+LABEL_1: Positive (have positive emotion)
+
+LABEL_0: Negative (have negative emotion)
+### Usage:
+```python
+>>> from transformers import pipeline
+>>> ec = pipeline('sentiment-analysis', model='emotion_classifer')
+>>> ec("Hello, I'm a good model.")
+```
+
+### Accuracy:
+We reach 93.98% for validation dataset, and 91.92% for test dataset.