RichardErkhov/rootsec1_-_gemma-2B-it-customer-support-gguf

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gemma-2B-it-customer-support - GGUF

• —Model creator: https://huggingface.co/rootsec1/
• —Original model: https://huggingface.co/rootsec1/gemma-2B-it-customer-support/

Original model description: --- library_name: transformers datasets:

• —bitext/Bitext-customer-support-llm-chatbot-training-dataset ---

Fine-Tuned GEMMA Model for Chatbot

This repository hosts the fine-tuned version of the GEMMA 1.1-2B model, specifically fine-tuned for a customer support chatbot use case.

Model Description

The GEMMA 1.1-2B model has been fine-tuned on the Bitext Customer Support Dataset for answering customer support queries. The fine-tuning process involved adjusting the model's weights based on question and answer pairs, which should enable it to generate more accurate and contextually relevant responses in a conversational setting.

How to Use

You can use this model directly with a pipeline for text generation:

from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

tokenizer = AutoTokenizer.from_pretrained("your-username/your-model-name")
model = AutoModelForCausalLM.from_pretrained("your-username/your-model-name")

chatbot = pipeline("text-generation", model=model, tokenizer=tokenizer)

response = chatbot("How can I cancel my order?")
print(response[0]['generated_text'])