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--- |
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license: apache-2.0 |
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language: |
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- en |
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metrics: |
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- bleu |
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- rouge |
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- bertscore |
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pipeline_tag: text2text-generation |
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datasets: |
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- bitext/Bitext-customer-support-llm-chatbot-training-dataset |
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base_model: |
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- google-t5/t5-small |
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--- |
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## About model |
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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. |
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## How to Get Started with the Model |
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```python |
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from transformers import T5Tokenizer, T5ForConditionalGeneration |
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model_name = "sunbv56/T5_Chatbot_CustomerSupport" |
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tokenizer = T5Tokenizer.from_pretrained(model_name, legacy=False) |
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model = T5ForConditionalGeneration.from_pretrained(model_name) |
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``` |
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## Example code here |
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https://www.kaggle.com/code/thuntrngbnh/test-model-vit-gpt2-icf/notebook |
