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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+onnx/model.onnx_data filter=lfs diff=lfs merge=lfs -text

config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "nvidia/domain-classifier",
+  "attention_probs_dropout_prob": 0.1,
+  "base_model": "microsoft/deberta-v3-base",
+  "config_path": null,
+  "fc_dropout": 0.2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1536,
+  "id2label": {
+    "0": "Adult",
+    "1": "Arts_and_Entertainment",
+    "2": "Autos_and_Vehicles",
+    "3": "Beauty_and_Fitness",
+    "4": "Books_and_Literature",
+    "5": "Business_and_Industrial",
+    "6": "Computers_and_Electronics",
+    "7": "Finance",
+    "8": "Food_and_Drink",
+    "9": "Games",
+    "10": "Health",
+    "11": "Hobbies_and_Leisure",
+    "12": "Home_and_Garden",
+    "13": "Internet_and_Telecom",
+    "14": "Jobs_and_Education",
+    "15": "Law_and_Government",
+    "16": "News",
+    "17": "Online_Communities",
+    "18": "People_and_Society",
+    "19": "Pets_and_Animals",
+    "20": "Real_Estate",
+    "21": "Science",
+    "22": "Sensitive_Subjects",
+    "23": "Shopping",
+    "24": "Sports",
+    "25": "Travel_and_Transportation"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "label2id": {
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+    "Arts_and_Entertainment": 1,
+    "Autos_and_Vehicles": 2,
+    "Beauty_and_Fitness": 3,
+    "Books_and_Literature": 4,
+    "Business_and_Industrial": 5,
+    "Computers_and_Electronics": 6,
+    "Finance": 7,
+    "Food_and_Drink": 8,
+    "Games": 9,
+    "Health": 10,
+    "Hobbies_and_Leisure": 11,
+    "Home_and_Garden": 12,
+    "Internet_and_Telecom": 13,
+    "Jobs_and_Education": 14,
+    "Law_and_Government": 15,
+    "News": 16,
+    "Online_Communities": 17,
+    "People_and_Society": 18,
+    "Pets_and_Animals": 19,
+    "Real_Estate": 20,
+    "Science": 21,
+    "Sensitive_Subjects": 22,
+    "Shopping": 23,
+    "Sports": 24,
+    "Travel_and_Transportation": 25
+  },
+  "layer_norm_eps": 1e-07,
+  "legacy": true,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 1536,
+  "pos_att_type": null,
+  "position_biased_input": true,
+  "pretrained": true,
+  "relative_attention": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

onnx/model.onnx

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onnx/model.onnx_data

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onnx/model_bnb4.onnx

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onnx/model_fp16.onnx

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onnx/model_int8.onnx

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onnx/model_q4.onnx

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onnx/model_q4f16.onnx

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onnx/model_quantized.onnx

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onnx/model_uint8.onnx

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quantize_config.json

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+{
+    "modes": [
+        "fp16",
+        "q8",
+        "int8",
+        "uint8",
+        "q4",
+        "q4f16",
+        "bnb4"
+    ],
+    "per_channel": true,
+    "reduce_range": true,
+    "block_size": null,
+    "is_symmetric": true,
+    "accuracy_level": null,
+    "quant_type": 1,
+    "op_block_list": null
+}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+  "unk_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
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+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "split_by_punct": false,
+  "tokenizer_class": "DebertaV2Tokenizer",
+  "unk_token": "[UNK]",
+  "vocab_type": "spm"
+}