About model
A customer support chatbot built on Google's T5 architecture and fine-tuned using the bitext/Bitext-customer-support-llm-chatbot-training-dataset. Designed to understand natural language and provide accurate, efficient responses for a wide range of customer service scenarios. Ideal for automating support, answering queries, and enhancing user experience in customer-facing applications.
How to Get Started with the Model
from transformers import T5Tokenizer, T5ForConditionalGeneration
model_name = "sunbv56/T5_Chatbot_CustomerSupport"
tokenizer = T5Tokenizer.from_pretrained(model_name, legacy=False)
model = T5ForConditionalGeneration.from_pretrained(model_name)
Example code here
https://www.kaggle.com/code/thuntrngbnh/test-t5-chatbot-customersupport
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Base model
google-t5/t5-base