add model

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "xlm-r-finetuned-toxic-political-tweets-es",
+  "_name_or_path": "/content/drive/Shareddrives/Machine Learning/HF Course/model_degrees/",
   "architectures": [
     "XLMRobertaForSequenceClassification"
   ],
@@ -7,20 +7,11 @@
   "bos_token_id": 0,
   "classifier_dropout": null,
   "eos_token_id": 2,
-  "gradient_checkpointing": false,
   "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",
@@ -31,7 +22,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "multi_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.10.2",
+  "transformers_version": "4.12.4",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4b9442b35554a19f40ac8a0d67d85d702e8f7217f844673d3d8e9c68a4e52c9
-size 1112266429
+oid sha256:8a97a9f8e9dd06572ed964aa202e5a56230e43122254883256f73b918efade36
+size 1112263341