Spaces:
Running
on
Zero
Running
on
Zero
File size: 1,525 Bytes
35360db 6ff76d4 35360db |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
# Necessary imports
import os
import sys
from dotenv import load_dotenv
from typing import Any
import torch
from transformers import PaliGemmaForConditionalGeneration, PaliGemmaProcessor
# Local imports
from src.logger import logging
from src.exception import CustomExceptionHandling
# Load the Environment Variables from .env file
load_dotenv()
# Access token for using the model
access_token = os.environ.get("ACCESS_TOKEN")
def load_model_and_processor(model_name: str, device: str) -> Any:
"""
Load the model and processor.
Args:
- model_name (str): The name of the model to load.
- device (str): The device to load the model onto.
Returns:
- model: The loaded model.
- processor: The loaded processor.
"""
try:
# Load the model and processor
model = (
PaliGemmaForConditionalGeneration.from_pretrained(
model_name, torch_dtype=torch.bfloat16, token=access_token
)
.eval()
.to(device)
)
processor = PaliGemmaProcessor.from_pretrained(model_name, token=access_token)
# Log the successful loading of the model and processor
logging.info("Model and processor loaded successfully.")
# Return the model and processor
return model, processor
# Handle exceptions that may occur during model and processor loading
except Exception as e:
# Custom exception handling
raise CustomExceptionHandling(e, sys) from e
|