add sparse model

config.json

@@ -1,10 +1,6 @@
 {
-  "_name_or_path": "dmis-lab/biobert-base-cased-v1.1",
-  "architectures": [
-    "BertModel"
-  ],
   "attention_probs_dropout_prob": 0.1,
-  "classifier_dropout": null,
+  "finetuning_task": null,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -12,14 +8,14 @@
   "intermediate_size": 3072,
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "bert",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
-  "pad_token_id": 0,
-  "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
-  "transformers_version": "4.11.3",
+  "num_labels": 2,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pruned_heads": {},
+  "torchscript": false,
   "type_vocab_size": 2,
-  "use_cache": true,
+  "use_bfloat16": false,
   "vocab_size": 28996
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3af491759d242fe215a8db89c7da93cab529bb0dc25215462e0dd4aebcf70f35
-size 433327607
+oid sha256:d54415bb96b05b695be01ea362547c7f6b666d2b7a29e7a50a818cd88f3f2998
+size 433288887

sparse_weight.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ded222b0700f22ad53e01eee7848f4fc7617d11f5bd9e6f8889a9369dc92b000
+size 392