Upload tiny models for TapasForSequenceClassification

config.json

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+{
+  "_name_or_path": "temp/dummy/tapas/TapasForSequenceClassification",
+  "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,
+  "architectures": [
+    "TapasForSequenceClassification"
+  ],
+  "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,
+  "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,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.0.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": 30522
+}

pytorch_model.bin

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+oid sha256:758fd91591b6ba7e434db1529b9e239472c652c47c31d5359b7c3373b910ab06
+size 4276238

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "[EMPTY]"
+  ],
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tf_model.h5

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+oid sha256:1bb68894fcd4008832a8649975e9ebf125178d60d5e27e77d8ce18556a4da694
+size 4383664

tokenizer_config.json

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+{
+  "additional_special_tokens": [
+    "[EMPTY]"
+  ],
+  "cell_trim_length": -1,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "drop_rows_to_fit": false,
+  "empty_token": "[EMPTY]",
+  "mask_token": "[MASK]",
+  "max_column_id": null,
+  "max_question_length": null,
+  "max_row_id": null,
+  "min_question_length": null,
+  "model_max_length": 512,
+  "name_or_path": "google/tapas-base-finetuned-sqa",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": "/home/huggingface/.cache/huggingface/hub/models--google--tapas-base-finetuned-sqa/snapshots/81916d20eef75766aeae71b9487fd615017b0413/special_tokens_map.json",
+  "strip_accents": null,
+  "strip_column_names": false,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "TapasTokenizer",
+  "unk_token": "[UNK]",
+  "update_answer_coordinates": false
+}