| | --- |
| | license: apache-2.0 |
| | language: |
| | - en |
| | pipeline_tag: text2text-generation |
| | datasets: |
| | - bitext/Bitext-customer-support-llm-chatbot-training-dataset |
| | base_model: |
| | - google-t5/t5-base |
| | --- |
| | ## 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 |
| | ```python |
| | 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 |
