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{"_name_or_path": "mrm8488/electricidad-small-discriminator", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size... |
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{"_name_or_path": "mrm8488/electricidad-small-discriminator", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": 1024, "layer_norm_eps": 1... |
{"_name_or_path": "albert-base-v2", "architectures": ["AlbertForTokenClassification"], "attention_probs_dropout_prob": 0, "bos_token_id": 2, "classifier_dropout_prob": 0.1, "down_scale_factor": 1, "embedding_size": 128, "eos_token_id": 3, "gap_size": 0, "hidden_act": "gelu_new", "hidden_dropout_prob": 0, "hidden_size":... |
{"_name_or_path": "mrm8488/electricidad-small-discriminator", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "id2label": {"0": "\u2b50", "1": "\u2b50 \u2b50", "2": "\u2b50 \u2b50 \u2... |
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{"_name_or_path": "mrm8488/electricidad-small-discriminator", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "id2label": {"0": "entailment", "1": "neutral", "2": "contradiction"}, "i... |
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{"_name_or_path": "sultan/BioM-ELECTRA-Base-Discriminator", "architectures": ["ElectraForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "O", "1": "B-Disease", "2": "I-D... |
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{"architectures": ["ElectraForPreTraining"], "attention_probs_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": 1024, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "electra", "num_atte... |
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{"_name_or_path": "ArBert/bert-base-uncased-finetuned-ner-kmeans", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "L... |
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{"_name_or_path": "bert-base-uncased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2", "3"... |
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