loading from local inference on cpu :- Why does my inference takes 10 minutes

[vijayendra-g]

I followed exact steps from
https://github.com/urchade/GLiNER/blob/main/examples/load_local_model.ipynb
This takes close to 10 minutes to run .

I read in other threads , the running time should be in seconds when I load the model from local.
I think, I am exactly doing this here
loaded_model = GLiNER.from_pretrained("gliner_Med", load_tokenizer = True, local_files_only=True)

Can someone point out why it is still taking 10 mins.

import torch
from gliner import GLiNER

model = GLiNER.from_pretrained("gliner-community/gliner_medium-v2.5")
model.save_pretrained("gliner_Med")
loaded_model = GLiNER.from_pretrained("gliner_Med", load_tokenizer = True, local_files_only=True)

text = """
Libretto by Marius Petipa, based on the 1822 novella ``Trilby, ou Le Lutin d'Argail`` by Charles Nodier, first presented by the Ballet of the Moscow Imperial Bolshoi Theatre on January 25/February 6 (Julian/Gregorian calendar dates), 1870, in Moscow with Polina Karpakova as Trilby and Ludiia Geiten as Miranda and restaged by Petipa for the Imperial Ballet at the Imperial Bolshoi Kamenny Theatre on January 17–29, 1871 in St. Petersburg with Adèle Grantzow as Trilby and Lev Ivanov as Count Leopold."""

labels = ["person", "book", "location", "date", "actor", "character"]

entities = loaded_model.predict_entities(text, labels, threshold=0.4)

for entity in entities:
    print(entity["text"], "=>", entity["label"])