AIAT/Kiddee-data1234
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How to use AIAT/Kiddee-qatable1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("table-question-answering", model="AIAT/Kiddee-qatable1") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("AIAT/Kiddee-qatable1")
model = AutoModelForCausalLM.from_pretrained("AIAT/Kiddee-qatable1")This repository contains code and resources for building a Question Answering (QA) system using the Retrieval-Augmented Generation (RAG) approach with the Language Learning Model (LLM).
RAG-QA combines the power of retrieval-based models with generative models to provide accurate and diverse answers to a given question. LLM, a state-of-the-art language model, is used for generation within the RAG framework.