Update README.md

README.md

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 It was trained on a large corpus of text, including some emotionally engaging datasets such as the "Facebook Empathetic Dialogues" dataset containing 25k conversations.
-A dataset of 25k conversations grounded in emotional situations to facilitate training and evaluating dialogue systems.
+A dataset of 25k conversations grounded in emotional situations to facilitate training and evaluating dialogue systems.
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("AliiaR/DialoGPT-medium-empathetic-dialogues")
+
+model = AutoModelForCausalLM.from_pretrained("AliiaR/DialoGPT-medium-empathetic-dialogues")