Update README.md

README.md

@@ -17,7 +17,7 @@ These models don't train on the MIRACL training data.
 | splade-japanese-efficient| 0.408  | 0.954      | 0.419   | 0.718    |
 | splade-japanese-v2 | 0.580   | 0.967       | 0.629    | 0.844     |
 | splade-japanese-v2-doc | 0.478 | 0.930 | 0.514 | 0.759 |
-| splade-japanese-v3 | 0.604 | 0.979 | 0.647 | 0.877 |
+| splade-japanese-v3 | **0.604** | **0.979** | **0.647** | **0.877** |
 
 
 *'splade-japanese-v2-doc' model does not require query encoder during inference.
@@ -37,8 +37,8 @@ from transformers import AutoModelForMaskedLM,AutoTokenizer
 import torch
 import numpy as np
 
-model = AutoModelForMaskedLM.from_pretrained("aken12/splade-japanese-v2") 
-tokenizer = AutoTokenizer.from_pretrained("aken12/splade-japanese-v2")
+model = AutoModelForMaskedLM.from_pretrained("aken12/splade-japanese-v3") 
+tokenizer = AutoTokenizer.from_pretrained("aken12/splade-japanese-v3")
 vocab_dict = {v: k for k, v in tokenizer.get_vocab().items()}
 
 def encode_query(query):