Load reduced model using reduction from cayjobla/bert-base-uncased-reduced

config.json

@@ -0,0 +1,33 @@
+{
+  "_name_or_path": "sentence-transformers/all-mpnet-base-v2",
+  "architectures": [
+    "SBertMPNetReducedModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "mpnet",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "pooling_mode": "mean",
+  "reduced_size": 48,
+  "reduction_sizes": [
+    512,
+    256,
+    128,
+    64,
+    48
+  ],
+  "relative_attention_num_buckets": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0.dev0",
+  "vocab_size": 30527
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7290c8d7afd8319e178a1010a081d8d69841bad313acaa627bf0a409849ea314
+size 437932237