Update README.md

README.md

@@ -1,27 +1,27 @@
-
 ---
 library_name: transformers
 tags:
-- autotrain
 - text-classification
-base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
 widget:
-- text: "I love AutoTrain"
+- text: I love AutoTrain
 ---
 
 # Model Trained Using AutoTrain
 
 - Problem type: Text Classification
 
-## Validation Metrics
-loss: 0.0227875504642725
+## Inference  
 
-f1: 1.0
+You can use the following Python code to perform inference with this model using the `transformers` library:
 
-precision: 1.0
+```python
+from transformers import pipeline
 
-recall: 1.0
+# Load the model
+classifier = pipeline("text-classification", model="Phase-Technologies/RoBERTo")
 
-auc: 1.0
+# Perform inference
+text = "I love AutoTrain"
+result = classifier(text)
 
-accuracy: 1.0
+print(result)