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Update app.py
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app.py
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from transformers import
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model_name = "declare-lab/flan-alpaca-base"
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model = AutoModelForQuestionAnswering.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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qa_pipeline = pipeline("question-answering", model=model, tokenizer=tokenizer)
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def main():
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# Set app title
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st.title("Flan Alpaca Large Model")
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mport streamlit as st
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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import numpy as np
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from transformers import (
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AutoModelForCausalLM,
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AutoTokenizer,
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PreTrainedModel,
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PreTrainedTokenizer
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)
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("declare-lab/flan-alpaca-large")
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model = AutoModelForSeq2SeqLM.from_pretrained("declare-lab/flan-alpaca-large")
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def main():
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# Set app title
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st.title("Flan Alpaca Large Model")
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