add left padding

README.md

@@ -27,7 +27,7 @@ MoD-Embedding is a text embedding model designed for semantic search and retriev
 - **Max Sequence Length**: 32,768 tokens
 - **Embedding Dimension**: 2560
 - **Languages**: English, Chinese, and multilingual support
-- **Training Method**: LoRA fine-tuning on RTEB datasets
+- **Training Method**: LoRA fine-tuning
 
 ## Usage
 
@@ -61,8 +61,8 @@ from transformers import AutoModel, AutoTokenizer
 import torch
 import torch.nn.functional as F
 
-tokenizer = AutoTokenizer.from_pretrained("bflhc/MoD-Embedding")
-model = AutoModel.from_pretrained("bflhc/MoD-Embedding", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("bflhc/MoD-Embedding", padding_side='left')
+model = AutoModel.from_pretrained("bflhc/MoD-Embedding")
 model.eval()
 
 def encode(texts):