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{"architectures": ["RobertaForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_position_embeddings": 514, "model_type": "roberta... |
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{"architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "Fake", "1": "Real"}, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": {"Fake": 0, "... |
{"_name_or_path": "xlm-roberta-base", "architectures": ["XLMRobertaModel"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermedia... |
{"_name_or_path": "/content/drive/MyDrive/Ligolab/models/DxRoberta", "architectures": ["RobertaForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "inte... |
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{"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext", "architectures": ["BertForSequenceClassification"], "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":... |
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{"_name_or_path": "dmis-lab/biobert-base-cased-v1.1", "architectures": ["BertForSequenceClassification"], "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", "... |
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{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2"}, "initializer_range": 0.02, "label2id": {"LABEL_0": 0, "LABE... |
{"_name_or_path": "dmis-lab/biobert-v1.1", "architectures": ["BertForSequenceClassification"], "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_... |
{"architectures": ["XLMWithLMHeadModel"], "asm": false, "attention_dropout": 0.1, "bos_index": 0, "bos_token_id": 0, "causal": false, "dropout": 0.1, "emb_dim": 1024, "embed_init_std": 0.02209708691207961, "end_n_top": 5, "eos_index": 1, "gelu_activation": true, "id2lang": {"0": "en", "1": "fr"}, "init_std": 0.02, "is_... |
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{"_name_or_path": "/tmp/tmpp2a8oc1x/91e90663-9f2b-4f5c-a45b-e626119cde48", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.1, "bos_token_id": 0, "classif_dropout": 0.1, "classifie... |
{"_name_or_path": "/tmp/tmp0mjpsggf/9e45574d-88bd-4b8d-ba79-79941edec8d3", "architectures": ["KLMForReplacementAndMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "initializer_ra... |
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{"_name_or_path": "/mnt/twitchat/models/convbert-small-mlm-simcse-24e/", "architectures": ["ConvBertModel"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "conv_kernel_size": 9, "embedding_size": 128, "eos_token_id": 2, "head_ratio": 2, "hidden_act": "gelu", "hidden_dropout_prob": ... |
{"_name_or_path": "/mnt/twitchat/models/convbert-small-hf-mlm", "architectures": ["ConvBertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "conv_kernel_size": 9, "embedding_size": 128, "eos_token_id": 2, "head_ratio": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1... |
{"_num_labels": 9, "architectures": ["XLMRobertaForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "B-LOC", "1": "B-MISC", "2": "B-ORG", "3": "B-PER", "4": "I-LOC", "5": "I-MISC", "6": "I-ORG"... |
{"_name_or_path": "bert-base-uncased", "architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-... |
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