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README.md

@@ -17,7 +17,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [c
 ### Model Description
 - **Model Type:** Sentence Transformer
 - **Base model:** [cointegrated/rubert-tiny](https://huggingface.co/cointegrated/rubert-tiny) <!-- at revision 5441c5ea8026d4f6d7505ec004845409f1259fb1 -->
-- **Maximum Sequence Length:** 256 tokens
+- **Maximum Sequence Length:** 512 tokens
 - **Output Dimensionality:** 312 tokens
 - **Similarity Function:** Cosine Similarity
 <!-- - **Training Dataset:** Unknown -->
@@ -34,7 +34,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [c
 
 ```
 SentenceTransformer(
-  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: BertModel 
+  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
   (1): Pooling({'word_embedding_dimension': 312, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
 )
 ```

sentence_bert_config.json

@@ -1,4 +1,4 @@
 {
-  "max_seq_length": 256,
+  "max_seq_length": 512,
   "do_lower_case": false
 }

tokenizer_config.json

@@ -47,7 +47,7 @@
   "do_lower_case": false,
   "mask_token": "[MASK]",
   "max_length": 512,
-  "model_max_length": 256,
+  "model_max_length": 512,
   "never_split": null,
   "pad_to_multiple_of": null,
   "pad_token": "[PAD]",