add model

config.json

@@ -1,6 +1,5 @@
 {
-  "_name_or_path": "google/tapas-base",
-  "activation": "gelu",
+  "_name_or_path": "google/tapas-large-finetuned-sqa",
   "aggregation_labels": null,
   "aggregation_loss_weight": 1.0,
   "aggregation_temperature": 1.0,
@@ -8,43 +7,37 @@
   "answer_loss_cutoff": null,
   "answer_loss_importance": 1.0,
   "architectures": [
-    "DistilBertForSequenceClassification"
+    "TapasForQuestionAnswering"
   ],
-  "attention_dropout": 0.1,
-  "attention_probs_dropout_prob": 0.0,
+  "attention_probs_dropout_prob": 0.1,
   "average_approximation_function": "ratio",
   "average_logits_per_cell": false,
   "cell_selection_preference": null,
-  "dim": 768,
   "disable_per_token_loss": false,
-  "dropout": 0.1,
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
-  "hidden_dim": 3072,
-  "hidden_dropout_prob": 0.07,
+  "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": 3072,
+  "intermediate_size": 4096,
   "layer_norm_eps": 1e-12,
   "max_num_columns": 32,
   "max_num_rows": 64,
   "max_position_embeddings": 1024,
-  "model_type": "distilbert",
-  "n_heads": 12,
-  "n_layers": 12,
+  "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,
-  "qa_dropout": 0.1,
   "reset_position_index_per_cell": true,
   "select_one_column": true,
-  "seq_classif_dropout": 0.2,
-  "sinusoidal_pos_embds": false,
   "softmax_temperature": 1.0,
   "torch_dtype": "float32",
-  "transformers_version": "4.14.0.dev0",
+  "transformers_version": "4.16.0.dev0",
   "type_vocab_size": [
     3,
     256,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:05089e63dd548b395ec8db7efd6465efa49ff33177e52cf846a0abcacdbf9c68
-size 439582327
+oid sha256:95e6c8ac7fbd313c1fe1d231e691c1501b8cafcb6dfd3ea7e78772d33138b518
+size 1347091016