add model

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "xlm-roberta-base",
+  "_name_or_path": "xlm-r-finetuned-toxic-political-tweets-es",
   "architectures": [
     "XLMRobertaForSequenceClassification"
   ],
@@ -11,8 +11,16 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
+  "id2label": {
+    "0": "toxic",
+    "1": "very toxic"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
+  "label2id": {
+    "toxic": 0,
+    "very toxic": 1
+  },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
   "model_type": "xlm-roberta",
@@ -21,6 +29,7 @@
   "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.10.2",
   "type_vocab_size": 1,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca42cdebed8316b9f4f5f0278aad18fdad700f0ada5a7d0196aca44f9d7ac90a
-size 1112266065
+oid sha256:c4b9442b35554a19f40ac8a0d67d85d702e8f7217f844673d3d8e9c68a4e52c9
+size 1112266429