File size: 1,316 Bytes
abaf9f1 |
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 |
# services/model_service.py
from transformers import AutoTokenizer, AutoModelForCausalLM
from sentence_transformers import SentenceTransformer
import torch
from functools import lru_cache
from config.config import settings
import logging
logger = logging.getLogger(__name__)
class ModelService:
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super().__new__(cls)
cls._instance._initialized = False
return cls._instance
def __init__(self):
if not self._initialized:
self._initialized = True
self._load_models()
@lru_cache(maxsize=1)
def _load_models(self):
try:
self.tokenizer = AutoTokenizer.from_pretrained(settings.MODEL_NAME)
self.model = AutoModelForCausalLM.from_pretrained(
settings.MODEL_NAME,
torch_dtype=torch.float16 if settings.DEVICE == "cuda" else torch.float32,
device_map="auto" if settings.DEVICE == "cuda" else None
)
self.embedder = SentenceTransformer(settings.EMBEDDER_MODEL)
except Exception as e:
logger.error(f"Error loading models: {e}")
raise
def get_models(self):
return self.tokenizer, self.model, self.embedder
|