Update README.md

README.md

@@ -1,3 +1,21 @@
 ---
 license: mit
 ---
+
+# diwank/dyda-deberta-pair
+
+Deberta-based Daily Dialog style dialog-act annotations classification model. It takes two sentences as inputs (one previous and one current of a dialog). The previous sentence can be an empty string if this is the first utterance of a speaker in a dialog. Outputs one of four labels (exactly as in the [daily-dialog dataset](https://huggingface.co/datasets/daily_dialog) ): *__dummy__ (0), inform (1), question (2), directive (3), commissive (4)*
+
+## Usage
+
+```python
+from simpletransformers.classification import (
+    ClassificationModel, ClassificationArgs
+)
+
+model = ClassificationModel("deberta", "diwank/dyda-deberta-pair")
+convert_to_label = lambda n: ["__dummy__ (0), inform (1), question (2), directive (3), commissive (4)".split(', ')[i] for i in n]
+
+predictions, raw_outputs = model.predict([["Say what is the meaning of life?", "I dont know"]])
+convert_to_label(predictions)  # inform (1)
+```