feat(config): add new model type for vector embeddings

Add a new model type, StaticModel, for vector embeddings.

This commit introduces a new model type, StaticModel, to enhance the capability of creating vector embeddings. This is achieved by updating the configuration file and tokenizer configuration to include the definition of the new model type.

config.json

@@ -1,3 +1,13 @@
 {
+    "model_type": "model2vec",
+    "architectures": [
+        "StaticModel"
+    ],
+    "tokenizer_name": "sentence-transformers/all-mpnet-base-v2",
+    "apply_pca": 256,
+    "apply_zipf": true,
+    "sif_coefficient": 0.001,
+    "hidden_dim": 256,
+    "seq_length": 1000000,
     "normalize": true
 }

tokenizer.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e76d728582b9955c7afa6e5757b5b7825b3d40ef49d935b3cb7b148ad556dce4
-size 11418179
+oid sha256:204cce1d589a5a74f3507122a40a87b4405fc17af12e070c2be8851631ad6b6a
+size 682351