Add trained model

config.json

@@ -9,22 +9,8 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4
-  },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
   "model_type": "xlm-roberta",
@@ -33,7 +19,7 @@
   "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.50.0",
+  "transformers_version": "4.50.3",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8a0c2ae0af59a94c60ae7b3b3eb1d82b0cbb1502f76c404df576fd816960331
-size 1112479552
+oid sha256:c5059cfd8c4a8c437a82c556c7f0384de5b37d1e2f75f9493b3d2d4296492f96
+size 1112470336