text stringlengths 21 3.17k |
|---|
{"_name_or_path": "muhtasham/tiny-mlm-glue-qqp-from-scratch-custom-tokenizer", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 128, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LAB... |
{"_name_or_path": "GroNLP/bert-base-dutch-cased", "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_nor... |
{"activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForPreTraining"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": f... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForTokenClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "O", "1": "B-PER", "2": "I-PER", "3": "B-ORG", "4": "I-ORG", "5": "B-LOC", "6": "I-LOC", "7": "B-MISC", "8... |
{"_name_or_path": "neuralmagic/oBERT-3-downstream-pruned-block4-90-squadv1", "architectures": ["BertForQuestionAnswering"], "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, "... |
{"_name_or_path": "models/conv_summa_models/bart-base-dialogsumgen-xsum-conv-cl-top25-2nd-seed102", "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_... |
{"_name_or_path": "gpt2", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head": 12, "n_inner": null... |
{"_name_or_path": "bert-base-uncased", "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": "Adventure", "1": "Angst", "2": "Drama", "3... |
{"_name_or_path": "Helsinki-NLP/opus-mt-en-tn", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "swish", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["MarianMTModel"], "attention_dropout": 0.0, "bad_words_ids": [[57305]], "bos_token_id": 0, "classif_dropout": 0.0, "clas... |
{"_name_or_path": "facebook/wav2vec2-xls-r-1b", "activation_dropout": 0.055, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.094, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 1024, "contrast... |
{"_name_or_path": "legalbert", "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "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-12, "max_position_embeddings": 512, "model_type"... |
{"_name_or_path": "/cognitive_comp/dongxiaoqun/train_model/fengshen-pegasus-large/ckpt/hf_pretrained_epoch0_step122000", "activation_dropout": 0.1, "activation_function": "relu", "add_bias_logits": false, "add_final_layer_norm": true, "architectures": ["PegasusForConditionalGeneration"], "attention_dropout": 0.1, "bos_... |
{"_name_or_path": "facebook/wav2vec2-xls-r-1b", "activation_dropout": 0.055, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.094, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 1024, "contrast... |
{"_name_or_path": "camembert-base", "architectures": ["CamembertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 5, "classifier_dropout": null, "eos_token_id": 6, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_... |
{"_name_or_path": "google/vit-base-patch16-224-in21k", "architectures": ["ViTModel"], "attention_probs_dropout_prob": 0.0, "encoder_stride": 16, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "image_size": 224, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "model_... |
{"_name_or_path": "bert-base-italian-cased_ami20/", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "m... |
{"_name_or_path": "bert-large-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": 1024, "id2label": {"0": "O", "1": "B-PER", "2": "I-PER", "3": "B-ORG... |
{"_name_or_path": "RASMUS/wav2vec2-xlsr-300", "activation_dropout": 0.055, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.094, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [512, 512, ... |
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.055, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.094, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [512, 5... |
{"_name_or_path": "/home/ubuntu/storage_data_new/data_strato_old/deeppatentsimilarity/python_screen/patent_multi_classification/output/training_stsbenchmark_flax-sentence-embeddings-all_datasets_v3_mpnet-base-2022-05-15_01-34-49", "architectures": ["MPNetModel"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, ... |
{"_name_or_path": "roberta-large", "architectures": ["RobertaForTokenClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "O", "1": "B-PER", "2": "I-PER", "3": "B-... |
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.055, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.094, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [512, 5... |
{"_name_or_path": "aubmindlab/bert-base-arabertv02", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "... |
{"_name_or_path": "dbmdz/convbert-base-turkish-mc4-uncased", "architectures": ["ConvBertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "conv_kernel_size": 9, "embedding_size": 768, "eos_token_id": 2, "head_ratio": 2, "hidden_act": "gelu", "hidden_dropout... |
{"_name_or_path": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.055, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.094, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contras... |
{"_name_or_path": "google/vit-base-patch16-224-in21k", "architectures": ["ViTForImageClassification"], "attention_probs_dropout_prob": 0.0, "encoder_stride": 16, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 768, "id2label": {"0": "angular_leaf_spot", "1": "bean_rust", "2": "healthy"}, "image_size": ... |
{"_name_or_path": "microsoft/deberta-v2-xlarge", "architectures": ["DebertaV2ForSequenceClassification"], "attention_head_size": 64, "attention_probs_dropout_prob": 0.1, "conv_act": "gelu", "conv_kernel_size": 3, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1536, "id2label": {"0": "joy", "1": "trust... |
{"_name_or_path": "facebook/wav2vec2-xls-r-1b", "activation_dropout": 0.055, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.094, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 1024, "contrast... |
{"_name_or_path": "wav2vec2-xlsr-fi-train-aug-lm-1B", "activation_dropout": 0.055, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.094, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 1024, "co... |
{"_name_or_path": "malcolm/REA_GenderIdentification_v1", "activation": "gelu", "architectures": ["AutoModelForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layer... |
{"_name_or_path": "google/mt5-small", "architectures": ["MT5ForConditionalGeneration"], "d_ff": 1024, "d_kv": 64, "d_model": 512, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": true, "is... |
{"_name_or_path": "dbmdz/bert-base-italian-cased", "architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "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_emb... |
{"_name_or_path": "monologg/koelectra-small-v3-discriminator", "architectures": ["ElectraForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "id2label": {"0": "O", "1": "B-FACTOR", "2": "I... |
{"_name_or_path": "/home/jovyan/active_learning/active_learning/domain_adaptation/outputs/pubmed_2022-05-25/bert-base-pubmed/best_model_on_val/", "architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_... |
{"_name_or_path": "/root/.cache/torch/sentence_transformers/distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertModel"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12... |
{"architectures": ["T5ForConditionalGeneration"], "d_ff": 2816, "d_kv": 64, "d_model": 1024, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": true, "is_gated_act": true, "layer_norm_epsilo... |
{"_name_or_path": "AutoNLP", "_num_labels": 2, "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "negative", "1": "positive"}, "initializer_range": 0.02, "inter... |
{"_name_or_path": "sberbank-ai/sbert_large_nlu_ru", "architectures": ["BertForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "initializer_range": 0.02,... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForMaskedLM"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "pad_token_id": 0,... |
{"_name_or_path": "AutoNLP", "_num_labels": 2, "architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "0", "1": "1"}, "initialize... |
{"_name_or_path": "albert-large-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": "Narrativa/mbart-large-50-finetuned-opus-en-pt-translation", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": true, "architectures": ["MBartForConditionalGeneration"], "attention_dropout": 0.0, "bos_token_id": 0, "classif_dro... |
{"_name_or_path": "muhtasham/small-mlm-glue-cola-from-scratch-custom-tokenizer", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 512, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "L... |
{"_name_or_path": "funnel-transformer/xlarge", "activation_dropout": 0.0, "architectures": ["FunnelForTokenClassification"], "attention_dropout": 0.1, "attention_type": "relative_shift", "block_repeats": [1, 1, 1], "block_sizes": [10, 10, 10], "d_head": 64, "d_inner": 4096, "d_model": 1024, "hidden_act": "gelu_new", "h... |
{"_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"}, "initializer_range": 0.02, "label2id": {"LABEL_0": 0}, "max_position_embeddings": 512, "mod... |
{"_name_or_path": "/tmp/test-richard_bert_base_cased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "finetuning_task": "ner", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1... |
{"_name_or_path": "../input/cvf-corpus/output", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head... |
{"_name_or_path": "google/bert_uncased_L-2_H-128_A-2", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 128, "initializer_range": 0.02, "intermediate_size": 512, "layer_norm_eps": 1e-12, ... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "pad... |
{"_name_or_path": "distilroberta-base", "architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "not_equivalent", "1": "equivalent... |
{"_name_or_path": "/tmp/test-richard_bert_base_uncased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "finetuning_task": "ner", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "AF... |
{"_name_or_path": "SCUT-DLVCLab/lilt-roberta-en-base", "architectures": ["LiltForTokenClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "channel_shrink_ratio": 4, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0"... |
{"_name_or_path": "/tmp/test-richard_bert_base_uncased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "finetuning_task": "ner", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "AF... |
{"_name_or_path": "zyl1024/bert-base-cased-finetuned-qqp", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "finetuning_task": "qqp", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "not_duplicate", "1": "du... |
{"_name_or_path": "/tmp/test-richard_bert_base_uncased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "finetuning_task": "ner", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "AFTER_COMPOUND", "1": "BEFOR... |
{"activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "finetuning_task": "Toxicity-classification", "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "p... |
{"_name_or_path": "/tmp/test-richard_bert_base_uncased", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "directionality": "bidi", "finetuning_task": "ner", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "AF... |
{"_name_or_path": "roberta-base", "architectures": ["RobertaForQuestionAnswering"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_no... |
{"_name_or_path": "bert-base-uncased", "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_2", ... |
{"_name_or_path": "csebuetnlp/mT5_multilingual_XLSum", "architectures": ["MT5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_ep... |
{"_name_or_path": "jungjongho/wav2vec2-large-xlsr-korean-demo-colab_epoch15", "activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForSpeechClassification"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_si... |
{"_name_or_path": "t5-3b", "architectures": ["T5ForConditionalGeneration"], "d_ff": 16384, "d_kv": 128, "d_model": 1024, "decoder_start_token_id": 0, "diversity_penalty": null, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForQuestionAnswering"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "pad_toke... |
{"_name_or_path": "bert-base-uncased", "architectures": ["BertForMultipleChoice"], "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... |
{"_name_or_path": "openai/whisper-tiny", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": ["WhisperForConditionalGeneration"], "attention_dropout": 0.0, "begin_suppress_tokens": [220, 50257], "bos_token_id": 50257, "d_model": 384, "decoder_attention_heads": 6, "decoder_ffn_dim": 1536, "decoder... |
{"_name_or_path": "xlm-roberta-base", "architectures": ["XLMRobertaForTokenClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LAB... |
{"_name_or_path": "facebook/wav2vec2-base", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logits_temperature": 0.1, "conv_bias": false, "conv_dim": [512, 512, 512, ... |
{"_name_or_path": "distilgpt2", "_num_labels": 1, "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "do_sample": true, "embd_pdrop": 0.1, "eos_token_id": 50256, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "label2id": {"LABEL_0": 0}, "layer_no... |
{"_name_or_path": "facebook/convnext-tiny-224", "architectures": ["ConvNextForImageClassification"], "depths": [3, 3, 9, 3], "drop_path_rate": 0.0, "hidden_act": "gelu", "hidden_sizes": [96, 192, 384, 768], "id2label": {"0": "RiceLeafs_BrownSpot", "1": "RiceLeafs_Healthy", "2": "RiceLeafs_Hispa", "3": "RiceLeafs_LeafBl... |
{"_name_or_path": "microsoft/deberta-v3-large", "architectures": ["DebertaV2ForTokenClassification"], "attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "O", "1": "B-PER", "2": "I-PER", "3": "B-ORG", "4": "I-ORG", "5": "B-LOC", "6": "I-LOC", "7"... |
{"architectures": ["RobertaForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "emb_size": 384, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 384, "initializer_range": 0.02, "intermediate_size": 512, "layer_norm_eps": 1e-12, "max_posit... |
{"_name_or_path": "t5-base", "architectures": ["T5ForConditionalGeneration"], "d_ff": 3072, "d_kv": 64, "d_model": 768, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t5"... |
{"_name_or_path": "bert-base-uncased", "architectures": ["NNCFNetwork"], "attention_probs_dropout_prob": 0.1, "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-12, "max_position_embeddings": 5... |
{"_name_or_path": "roberta-large", "architectures": ["All_Head_Wrapper_Model"], "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_range": 0.02, "intermediate_size": 4096, "layer_... |
{"_name_or_path": "teddy322/hyuk_Second_SON", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.0, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [512, 512, 512,... |
{"_name_or_path": "pdelobelle/robbert-v2-dutch-base", "architectures": ["RobertaForSequenceClassification"], "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, "id2label": {"0": "Negative", "1"... |
{"activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "embd_pdrop": 0.1, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 1024, "n_head": 16, "n_inner": null, "n_layer": 24, "pad_token_id": 0, "... |
{"MCQ_K": 256, "MCQ_M": 96, "_name_or_path": "/home/ukp/thakur/projects/JPQ/final_models/msmarco/qgen/epoch-2", "activation": "gelu", "architectures": ["JPQTowerTASB"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "gradient_checkpointing": true, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embe... |
{"_name_or_path": "mrm8488/electricidad-base-discriminator", "architectures": ["ElectraForSequenceClassification"], "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": "LABEL_0", "1": "LABEL_1", "... |
{"_name_or_path": "deepset/gbert-large", "architectures": ["BertModel"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "initializer_range": 0.02, "intermediate_size": 4096, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, ... |
{"_name_or_path": "AutoNLP", "_num_labels": 9, "architectures": ["RobertaForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": {"0": "disbursement", "1": "envi... |
{"_name_or_path": "Helsinki-NLP/opus-mt-en-ml", "activation_dropout": 0.0, "activation_function": "swish", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["MarianMTModel"], "attention_dropout": 0.0, "bad_words_ids": [[24660]], "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout": 0... |
{"_name_or_path": "AutoNLP", "architectures": ["T5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 512, "decoder_start_token_id": 0, "dropout_rate": 0.1, "eos_token_id": 1, "feed_forward_proj": "relu", "gradient_checkpointing": true, "initializer_factor": 1.0, "inputs_length": 1024, "is_encoder_decoder"... |
{"_name_or_path": "facebook/esm2_t6_8M_UR50D", "architectures": ["EsmForSequenceClassification"], "attention_probs_dropout_prob": 0.0, "classifier_dropout": null, "emb_layer_norm_before": false, "esmfold_config": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 320, "initializer_range": 0.02, "int... |
{"MCQ_K": 256, "MCQ_M": 96, "_name_or_path": "sebastian-hofstaetter/distilbert-dot-tas_b-b256-msmarco", "activation": "gelu", "architectures": ["JPQTowerTASB"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert"... |
{"_name_or_path": "facebook/wav2vec2-base", "activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logit... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForMaskedLM"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "pad_token_id": 0,... |
{"_name_or_path": "facebook/wav2vec2-base", "activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logit... |
{"_name_or_path": "facebook/wav2vec2-base", "activation_dropout": 0.0, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 256, "contrastive_logit... |
{"_name_or_path": "/home/mycat/model/rinna/finetuned_natume", "activation_function": "gelu_fast", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 2, "d_ff": 2048, "d_kv": 64, "d_model": 2048, "dropout_rate": 0.1, "embd_pdrop": 0.1, "eos_token_id": 3, "initializer_factor": 1.0, "initializer_rang... |
{"_name_or_path": "muhtasham/tiny-mlm-glue-qqp-from-scratch-custom-tokenizer", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 128, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.0... |
{"attention_probs_dropout_prob": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "max_position_embeddings": 512, "num_attention_heads": 12, "num_hidden_layers": 12, "model_type": "bert", "type_vocab_size": 2, "vocab_size": 30522} |
{"activation_dropout": 0.1, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2Model"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "con... |
{"activation_dropout": 0.2, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "co... |
{"_name_or_path": "theojolliffe/bart-cnn-science", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "gelu", "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.0, "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout": 0.0, "d_model": 1024... |
{"_name_or_path": "facebook/bart-large-cnn", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "gelu", "add_final_layer_norm": false, "architectures": ["BartForConditionalGeneration"], "attention_dropout": 0.0, "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout": 0.0, "d_model": 1024, "dec... |
{"_name_or_path": "HooshvareLab/bert-base-parsbert-uncased", "architectures": ["BertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_po... |
{"activation_dropout": 0.1, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "co... |
{"_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": "O", "1": "B-corporation", "2": "I-corporation... |
{"_name_or_path": "monologg/distilkobert", "activation": "gelu", "architectures": ["DistilBertForTokenClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "O", "1": "B-FACTOR", "2": "I-FACTOR"}, "initializer_range": 0.02, "label2id": {"B-FACTOR": "1", "I-FACTOR":... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.