Add new SentenceTransformer model.

README.md

@@ -85,7 +85,7 @@ For an automated evaluation of this model, see the *Sentence Embeddings Benchmar
 ## Full Model Architecture
 ```
 SentenceTransformer(
-  (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel 
+  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: BertModel 
   (1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False})
 )
 ```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "outputs/pt/cl-tohoku__bert-large-japanese-v2/B16384E1L128Temp0.01",
+  "_name_or_path": "outputs/pt/cl-tohoku__bert-large-japanese-v2/B8192E1L256Temp0.01",
   "architectures": [
     "BertModel"
   ],

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f0bec959ee3216ba3773b253edc0cad28a4bfd6f85919d71874d214c748e1ec1
+oid sha256:e400068f974ed8396292b15dbcb5572b254da242f4d75fd3d96a531c37113853
 size 1345613472

sentence_bert_config.json

@@ -1,4 +1,4 @@
 {
-  "max_seq_length": 128,
+  "max_seq_length": 256,
   "do_lower_case": false
 }