Add new SparseEncoder model

README.md

@@ -187,7 +187,7 @@ print(query_embeddings.shape, document_embeddings.shape)
 # Get the similarity scores for the embeddings
 similarities = model.similarity(query_embeddings, document_embeddings)
 print(similarities)
-# tensor([[22.4810, 22.8282, 21.7472]])
+# tensor([[22.4364, 22.7160, 21.7330]])
 ```
 
 <!--

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fd663f83e4f500c3e9c7a5bf6c1498fbd225ec75e7f7ee38006f1889d5db9d00
+oid sha256:2a7f2791a6ae8c6c07c51f95d67f52c7514cecf0fe59f0381969e3add0751f9d
 size 44814856

tokenizer_config.json

@@ -48,7 +48,7 @@
   "extra_special_tokens": {},
   "mask_token": "[MASK]",
   "max_length": 512,
-  "model_max_length": 1000000000000000019884624838656,
+  "model_max_length": 512,
   "never_split": null,
   "pad_to_multiple_of": null,
   "pad_token": "[PAD]",