metadata
license: apache-2.0
INFERENCE CODE
pip install transformers[torch]
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import torch
import time
tokenizer = AutoTokenizer.from_pretrained("AquilaX-AI/DB-Summarizer")
model = AutoModelForSeq2SeqLM.from_pretrained("AquilaX-AI/DB-Summarizer")
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
question = "How many Vulnerability found today"
db_result = "243"
summ_inp = f"Summarize the following Questions and Response: Question: {question} Response: {db_result}".lower()
import time
start = time.time()
inputs = tokenizer(summ_inp, return_tensors="pt")
model.to(device)
inputs = inputs.to(device)
outputs = model.generate(**inputs, max_length=526)
answer = summ_tokenizer.decode(outputs[0], skip_special_tokens=True)
print(answer)
end = time.time()
print(f"Time taken: {end - start}")