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from transformers import RobertaTokenizerFast, RobertaForSequenceClassification | |
from utils.commons import MODEL_SAVE_PATH, setup_logging | |
logger = setup_logging("model_loader.log") | |
class ModelLoader: | |
def __init__(self): | |
self.tokenizer = None | |
self.model = None | |
def load_model(self): | |
"""Load model from local path""" | |
try: | |
logger.info("Loading tokenizer and model...") | |
self.tokenizer = RobertaTokenizerFast.from_pretrained(MODEL_SAVE_PATH) | |
self.model = RobertaForSequenceClassification.from_pretrained(MODEL_SAVE_PATH) | |
logger.info("Tokenizer and model loaded successfully.") | |
return self.tokenizer, self.model | |
except Exception as e: | |
logger.error(f"Error loading model: {e}") | |
raise |