metadata
license: apache-2.0
language:
- en
metrics:
- bleu
- rouge
- bertscore
pipeline_tag: text2text-generation
datasets:
- bitext/Bitext-customer-support-llm-chatbot-training-dataset
base_model:
- google-t5/t5-small
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-model-vit-gpt2-icf/notebook