| | import streamlit as st
|
| | from transformers import AutoModelForCausalLM, AutoTokenizer,pipeline
|
| | import torch
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| |
|
| | st.title("quantization_Generator Fine tunning model")
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| |
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| |
|
| | model_dir = "quantization_model"
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| | tokenizer = AutoTokenizer.from_pretrained(model_dir)
|
| | model = AutoModelForCausalLM.from_pretrained(model_dir)
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| |
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| |
|
| | code_generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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| |
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| |
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| |
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| |
|
| | inputs_text=st.text_input("Please enter the text",value="def quicksort(arr):")
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| |
|
| | if st.button("submit"):
|
| | generated_code = code_generator(inputs_text, max_length=200, num_return_sequences=1)
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| |
|
| | st.write(generated_code[0]["generated_text"])
|
| | |
