| --- |
| 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 |
