Upload BertForTokenClassification

config.json

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+{
+  "_name_or_path": "TurkuNLP/bert-base-finnish-cased-v1",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-DATE",
+    "1": "B-EVENT",
+    "2": "B-LOC",
+    "3": "B-ORG",
+    "4": "B-PER",
+    "5": "B-PRO",
+    "6": "I-DATE",
+    "7": "I-EVENT",
+    "8": "I-LOC",
+    "9": "I-ORG",
+    "10": "I-PER",
+    "11": "I-PRO",
+    "12": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-DATE": 0,
+    "B-EVENT": 1,
+    "B-LOC": 2,
+    "B-ORG": 3,
+    "B-PER": 4,
+    "B-PRO": 5,
+    "I-DATE": 6,
+    "I-EVENT": 7,
+    "I-LOC": 8,
+    "I-ORG": 9,
+    "I-PER": 10,
+    "I-PRO": 11,
+    "O": 12
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 50105
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:98ac2a7ad9867f2fc611e1af1dac8885ece20a71c6af96ed636f4ecb121117ad
+size 495837677