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config.json

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+{
+  "_name_or_path": "xhlu/tapas-nq-hn-retriever-large-0",
+  "aggregation_labels": null,
+  "aggregation_loss_weight": 1.0,
+  "aggregation_temperature": 1.0,
+  "allow_empty_column_selection": false,
+  "answer_loss_cutoff": null,
+  "answer_loss_importance": 1.0,
+  "architectures": [
+    "TapasModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "average_approximation_function": "ratio",
+  "average_logits_per_cell": false,
+  "cell_selection_preference": null,
+  "disable_per_token_loss": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "huber_loss_delta": null,
+  "init_cell_selection_weights_to_zero": false,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "max_num_columns": 32,
+  "max_num_rows": 64,
+  "max_position_embeddings": 1024,
+  "model_type": "tapas",
+  "no_aggregation_label_index": null,
+  "num_aggregation_labels": 0,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "positive_label_weight": 10.0,
+  "reset_position_index_per_cell": false,
+  "select_one_column": true,
+  "softmax_temperature": 1.0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.11.3",
+  "type_vocab_size": [
+    3,
+    256,
+    256,
+    2,
+    256,
+    256,
+    10
+  ],
+  "type_vocab_sizes": [
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+    256,
+    256,
+    2,
+    256,
+    256,
+    10
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+  "use_answer_as_supervision": null,
+  "use_gumbel_for_aggregation": false,
+  "use_gumbel_for_cells": false,
+  "use_normalized_answer_loss": false,
+  "vocab_size": 30522
+}

projection.pt

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+size 1049387

pytorch_model.bin

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