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.gitattributes

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+model.safetensors filter=lfs diff=lfs merge=lfs -text

config.json

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+{
+  "architectures": [
+    "NorbertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "auto_map": {
+    "AutoConfig": "configuration_norbert.NorbertConfig",
+    "AutoModel": "modeling_norbert.NorbertModel",
+    "AutoModelForMaskedLM": "modeling_norbert.NorbertForMaskedLM",
+    "AutoModelForMultipleChoice": "modeling_norbert.NorbertForMultipleChoice",
+    "AutoModelForQuestionAnswering": "modeling_norbert.NorbertForQuestionAnswering",
+    "AutoModelForSequenceClassification": "modeling_norbert.NorbertForSequenceClassification",
+    "AutoModelForTokenClassification": "modeling_norbert.NorbertForTokenClassification"
+  },
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
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+  },
+  "intermediate_size": 2730,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
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+    "LABEL_66": 66,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
+  },
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_all_encoded_layers": true,
+  "position_bucket_size": 32,
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.3",
+  "vocab_size": 50000
+}

configuration_norbert.py

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+from transformers.configuration_utils import PretrainedConfig
+
+
+class NorbertConfig(PretrainedConfig):
+    """Configuration class to store the configuration of a `NorbertModel`.
+    """
+    def __init__(
+        self,
+        vocab_size=50000,
+        attention_probs_dropout_prob=0.1,
+        hidden_dropout_prob=0.1,
+        hidden_size=768,
+        intermediate_size=2048,
+        max_position_embeddings=512,
+        position_bucket_size=32,
+        num_attention_heads=12,
+        num_hidden_layers=12,
+        layer_norm_eps=1.0e-7,
+        output_all_encoded_layers=True,
+        **kwargs,
+    ):
+        super().__init__(**kwargs)
+
+        self.vocab_size = vocab_size
+        self.hidden_size = hidden_size
+        self.num_hidden_layers = num_hidden_layers
+        self.num_attention_heads = num_attention_heads
+        self.intermediate_size = intermediate_size
+        self.hidden_dropout_prob = hidden_dropout_prob
+        self.attention_probs_dropout_prob = attention_probs_dropout_prob
+        self.max_position_embeddings = max_position_embeddings
+        self.output_all_encoded_layers = output_all_encoded_layers
+        self.position_bucket_size = position_bucket_size
+        self.layer_norm_eps = layer_norm_eps

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:54b75e42a374dee851f45e43905c81d60d34ef11f0930865ac8a9a5c6cc0a1ab
+size 1257766912