metadata
tags:
- text2text-generation
- flan-t5
- RAG
Custom RAG Pipeline
This is a Retrieval-Augmented Generation (RAG) pipeline built using the google/flan-t5-small model.
Usage
from transformers import pipeline
# Load the model
generator = pipeline("text2text-generation", model="VidishaKhalpada/RAG")
# Generate text
result = generator("Translate English to French: How are you?")
print(result)