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Upload config.json

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+ {
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+ "_name_or_path": "../models/small/pytorch_model",
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+ "architectures": [
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+ "ElectraForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "embedding_size": 256,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 256,
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+ "id2label": {
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+ "0": "contradiction",
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+ "1": "neutral",
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+ "2": "entailment"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 1024,
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+ "label2id": {
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+ "contradiction": 0,
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+ "neutral": 1,
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+ "entailment": 2
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "electra",
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+ "num_attention_heads": 4,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "summary_activation": "gelu",
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+ "summary_last_dropout": 0.1,
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+ "summary_type": "first",
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+ "summary_use_proj": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.11.3",
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+ "type_vocab_size": 2,
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+ "vocab_size": 50000
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+ }