Initial commit.

README.md

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+Small change. again. again ? again.

config.json

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+{
+    "_name_or_path": "Narsil/small2",
+    "_num_labels": 9,
+    "architectures": ["BertForTokenClassification"],
+    "attention_probs_dropout_prob": 0.1,
+    "classifier_dropout": null,
+    "directionality": "bidi",
+    "gradient_checkpointing": false,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 2,
+    "id2label": {
+        "0": "O",
+        "1": "B-MISC",
+        "2": "I-MISC",
+        "3": "B-PER",
+        "4": "I-PER",
+        "5": "B-ORG",
+        "6": "I-ORG",
+        "7": "B-LOC",
+        "8": "I-LOC"
+    },
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+    "intermediate_size": 4,
+    "label2id": {
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+        "B-MISC": 1,
+        "B-ORG": 5,
+        "B-PER": 3,
+        "I-LOC": 8,
+        "I-MISC": 2,
+        "I-ORG": 6,
+        "I-PER": 4,
+        "O": 0
+    },
+    "layer_norm_eps": 1e-12,
+    "max_position_embeddings": 512,
+    "model_type": "bert",
+    "num_attention_heads": 2,
+    "num_hidden_layers": 2,
+    "pad_token_id": 0,
+    "pooler_fc_size": 768,
+    "pooler_num_attention_heads": 12,
+    "pooler_num_fc_layers": 3,
+    "pooler_size_per_head": 128,
+    "pooler_type": "first_token_transform",
+    "position_embedding_type": "absolute",
+    "transformers_version": "4.10.0.dev0",
+    "type_vocab_size": 2,
+    "use_cache": true,
+    "vocab_size": 28996
+}

pytorch_model.bin

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special_tokens_map.json

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tf_model.h5

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tokenizer_config.json

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unigram.model

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