import streamlit as st | |
from transformers import AutoTokenizer, AutoModelForCausalLM | |
model_id = "Mykes/med_gemma7b_gguf" | |
filename = "unsloth.Q4_K_M.gguf" | |
tokenizer = AutoTokenizer.from_pretrained(model_id, gguf_file=filename) | |
model = AutoModelForCausalLM.from_pretrained(model_id, gguf_file=filename) | |
input_text = st.textarea('text') | |
if text: | |
input_ids = tokenizer(input_text, return_tensors="pt") | |
outputs = model.generate(**input_ids) | |
st.write(outputs) |