Model: Sathya77/Telecom_Plan_RAG_based
Author: Sathya77
Pipeline: question-answering
Library: transformers
Tags: transformers, safetensors, t5, text2text-generation, RAG, FAISS, Telecom, Question-Answering, Flan-T5, Sentence-Transformers, question-answering, en, base_model:MBZUAI/LaMini-Flan-T5-248M, base_model:finetune:MBZUAI/LaMini-Flan-T5-248M, license:mit, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: MBZUAI/LaMini-Flan-T5-248M
Card metadata: license: mit
language: en
metrics: bertscore, bleu, rouge
base_model: MBZUAI/LaMini-Flan-T5-248M
pipeline_tag: question-answering
library_name: transformers
tags: RAG, FAISS, Telecom, Question-Answering, Flan-T5, Sentence-Transformers
Likes: 0 | All-time downloads: 16
Created: 2025-08-30 01:41:14