Update README.md

README.md

@@ -12,20 +12,17 @@ This is a model for predicting issue resolution times based on various features.
 ## How to use
 
 ```python
-import transformers as tf
-from keras.models import load_model
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
-# Load the model
-model = load_model("my_model.h5")
-
-# Prepare your input data (example)
-# X = ...
+tokenizer = AutoTokenizer.from_pretrained("xeroISB/ServiceNowMTTR")
+model = AutoModelForSequenceClassification.from_pretrained("xeroISB/ServiceNowMTTR")
 
 # Predict
 predictions = model.predict(X)
 Model Details
 ```
-Framework: TensorFlow / Keras / Bert
+Framework: Transformers / Bert
 Input features: Text and numerical features
 Output: Duration category (short, medium, long)
 Performance