add model

config.json

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+{
+  "_name_or_path": "cardiffnlp/twitter-roberta-base-2019-90m",
+  "adapters": {
+    "adapters": {},
+    "config_map": {},
+    "fusion_config_map": {},
+    "fusions": {}
+  },
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "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": "arts_&_culture",
+    "1": "business_&_entrepreneurs",
+    "2": "pop_culture",
+    "3": "daily_life",
+    "4": "sports_&_gaming",
+    "5": "science_&_technology"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "arts_&_culture": 0,
+    "business_&_entrepreneurs": 1,
+    "daily_life": 3,
+    "pop_culture": 2,
+    "science_&_technology": 5,
+    "sports_&_gaming": 4
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.12.5",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09fb4b6c913990690b8c9e6b54a3c87bfe8f9b9a222fd345306b9438a3efaedd
+size 498689965