Upload BertForTokenClassification

config.json

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+{
+  "_name_or_path": "cointegrated/rubert-tiny",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "emb_size": 312,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 312,
+  "id2label": {
+    "0": "I-Aspect",
+    "1": "B-Aspect",
+    "2": "I-Object2",
+    "3": "B-Object1",
+    "4": "I-Object1",
+    "5": "B-Object2",
+    "6": "B-CommonObj",
+    "7": "I-CommonObj",
+    "8": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 600,
+  "label2id": {
+    "B-Aspect": 1,
+    "B-CommonObj": 6,
+    "B-Object1": 3,
+    "B-Object2": 5,
+    "I-Aspect": 0,
+    "I-CommonObj": 7,
+    "I-Object1": 4,
+    "I-Object2": 2,
+    "O": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 3,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29564
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cc5413b52d139ca836cc1347e189cdbc6248894ec2ea6232a4fecb392657bed5
+size 46779033