Update README.md

README.md

@@ -1,3 +1,23 @@
----
-license: apache-2.0
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+---
+license: apache-2.0
+---
+A fine-tuned version of the T5 model for intent recognition. It is adept at discerning user queries, and categorizing them into requests for navigation, program details, or trade show information.
+
+**How to use:**
+
+```
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+model_path = 'voxreality/t5_nlu_intent_recognition'
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
+
+input_text = "Where is the conference room?"
+
+input_tokenized = tokenizer.encode(input_text, return_tensors='pt')
+output = model.generate(input_tokenized, max_new_tokens=100).tolist()
+nlu_output_str = tokenizer.decode(output[0], skip_special_tokens=True)
+
+print(nlu_output_str)
+```