Add model and configuration.

config.json

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+{
+  "agg_temperature": 1.0,
+  "aggregation_labels": null,
+  "aggregation_loss_importance": 0.8,
+  "aggregation_loss_weight": 1.0,
+  "aggregation_temperature": 1.0,
+  "allow_empty_column_selection": false,
+  "answer_loss_cutoff": 100,
+  "answer_loss_importance": 0.001,
+  "attention_probs_dropout_prob": 0.1,
+  "average_approximation_function": "ratio",
+  "average_logits_per_cell": true,
+  "cell_selection_preference": 0.5,
+  "disable_per_token_loss": false,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 32,
+  "huber_loss_delta": 25.0,
+  "init_cell_selection_weights_to_zero": true,
+  "initializer_range": 0.02,
+  "intermediate_size": 37,
+  "layer_norm_eps": 1e-12,
+  "max_num_columns": 32,
+  "max_num_rows": 64,
+  "max_position_embeddings": 512,
+  "model_type": "tapas",
+  "no_aggregation_label_index": null,
+  "num_aggregation_labels": 4,
+  "num_attention_heads": 4,
+  "num_hidden_layers": 5,
+  "pad_token_id": 0,
+  "positive_label_weight": 10.0,
+  "positive_weight": 10.0,
+  "reset_position_index_per_cell": true,
+  "select_one_column": true,
+  "transformers_version": "4.10.0.dev0",
+  "type_vocab_sizes": [
+    3,
+    256,
+    256,
+    2,
+    256,
+    256,
+    10
+  ],
+  "use_answer_as_supervision": true,
+  "use_gumbel_for_agg": false,
+  "use_gumbel_for_aggregation": false,
+  "use_gumbel_for_cells": false,
+  "use_normalized_answer_loss": false,
+  "vocab_size": 99
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e9cb89f18aab06d7a594507c90672d1d6d07bdfa71eb6561b9122ed856481c14
+size 396403