text stringlengths 21 3.17k |
|---|
{"_name_or_path": "facebook/wav2vec2-large-xlsr-53", "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": 768, "contrast... |
{"_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-... |
{"_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": "gpt2-large", "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": 1280, "n_head": 20, "n_inner... |
{"_name_or_path": "facebook/hubert-large-ll60k", "activation_dropout": 0.05, "apply_spec_augment": true, "architectures": ["HubertForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "conv_bias": true, "conv_dim": [512, 512, 512, 512, 512, 512, 512], "conv_kernel": [10, 3, 3, 3, 3, 2, 2]... |
{"_name_or_path": ".", "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", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "model_type": "t5", "n_p... |
{"_name_or_path": "original/polish-gpt2-small", "activation_function": "gelu_fast", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 0, "embd_pdrop": 0.1, "eos_token_id": 2, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_embd": 768, "n_head": 12, "n_inner": 3072... |
{"_name_or_path": "original/polish-gpt2-medium", "activation_function": "gelu_fast", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 0, "embd_pdrop": 0.1, "eos_token_id": 2, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_embd": 1024, "n_head": 16, "n_inner": 40... |
{"_name_or_path": "xlm-roberta-base", "architectures": ["XLMRobertaForSequenceClassification"], "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": "terrible", "1": "poor", "2": "ok... |
{"_name_or_path": "facebook/wav2vec2-large-sv-voxpopuli", "activation_dropout": 0.05, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "c... |
{"_name_or_path": "/content/gdrive/MyDrive/wav2vec2-large-xlsr-arabic-demo/checkpoint-400", "activation_dropout": 0.0, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.1, "bos_token_id": 1, "conv_bias": true, "conv_dim": [512, 512, 512, 512, 512, 512, 512], "conv_kernel": [10, 3, ... |
{"_name_or_path": "/content/drive/MyDrive/ML/t5_small_summarization_model", "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", "initializer_factor": 1.0, "is_encoder_decoder": true, ... |
{"architectures": ["MistralForCausalLM"], "attention_dropout": 0.0, "pad_token_id": 11, "bos_token_id": 998, "dtype": "bfloat16", "eos_token_id": [2, 999], "head_dim": 128, "hidden_act": "silu", "hidden_size": 5120, "initializer_range": 0.02, "intermediate_size": 32768, "max_position_embeddings": 131072, "model_type": ... |
{"_name_or_path": "camembert-base", "architectures": ["CamembertForMaskedLM"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 5, "eos_token_id": 6, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_no... |
{"_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": "synthetic_oct_cnv", "1": "synthetic_oct_dme", "2": "synthetic_oct_dru... |
{"_name_or_path": "ent5-base", "architectures": ["T5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 768, "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_a... |
{"_name_or_path": "svalabs/gbert-large-zeroshot-nli", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "text_classification", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id... |
{"architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128256, "head_dim": 64, "hidden_act": "silu", "hidden_size": 960, "initializer_range": 0.02, "intermediate_size": 2560, "max_position_embeddings": 4096, "mlp_bias": false, "model_type": "ll... |
{"_name_or_path": "tartuNLP/EstBERT_NER_v2", "architectures": ["BertForTokenClassification"], "attention_probs_dropout_prob": 0.1, "bos_token_id": 0, "classifier_dropout": null, "eos_token_ids": 0, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "... |
{"architectures": ["MistralForCausalLM"], "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "bfloat16", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 5120, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "model_type": "mistral", "num_attention_hea... |
{"architectures": ["Qwen3VLForConditionalGeneration"], "dtype": "float32", "eos_token_id": 151645, "hidden_size": 2048, "image_token_id": 151655, "model_type": "qwen3_vl", "pad_token_id": 151643, "text_config": {"attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "float32", "eos_token_id... |
{"architectures": ["Qwen3VLForConditionalGeneration"], "dtype": "float32", "eos_token_id": 151645, "hidden_size": 2560, "image_token_id": 151655, "model_type": "qwen3_vl", "pad_token_id": 151643, "text_config": {"attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "float32", "eos_token_id... |
{"_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", "3": "LABEL_3"}, "initializer_range": 0.02, "label2id": {"LA... |
{"_name_or_path": "./", "architectures": ["XLMRobertaForMaskedLM"], "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_norm_eps": 1e-05, ... |
{"model_type": "chatterbox", "version": "1.0", "multilingual": true, "vocab_size": 2454, "quantization": {"bits": 4, "group_size": 64, "quantized_components": ["t3.tfmr.model.layers"]}} |
{"_name_or_path": "bert-base-cased", "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, "intermediate_size": 3072, "layer_norm_ep... |
{"input_size": 640, "task": "object-detection", "best_ap50": 0.36535576104287554} |
{"_name_or_path": "microsoft/wavlm-large", "activation_dropout": 0.05, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["WavLMForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_... |
{"_name_or_path": "mt5-base-jaquad-qag", "add_prefix": false, "architectures": ["MT5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 768, "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_enc... |
{"_name_or_path": "naver-clova-ix/donut-base", "align_long_axis": false, "architectures": ["DonutModel"], "decoder_layer": 4, "encoder_layer": [2, 2, 14, 2], "input_size": [1280, 960], "max_length": 768, "max_position_embeddings": 768, "model_type": "donut", "torch_dtype": "float32", "transformers_version": "4.24.0", "... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForTokenClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "id2label": {"0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2", "3": "LABEL_3", "4": "LABEL_4", "5": "LABEL_5", "6": "LABEL_6",... |
{"_name_or_path": "albert-base-v2", "architectures": ["AlbertForSequenceClassification"], "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_siz... |
{"_name_or_path": "microsoft/unispeech-large-multi-lingual-1500h-cv", "activation_dropout": 0.05, "apply_spec_augment": true, "architectures": ["UniSpeechForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, ... |
{"_name_or_path": "albert-base-v2", "architectures": ["AlbertForSequenceClassification"], "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_siz... |
{"_name_or_path": "model", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "label2id": {"LABEL_0": 0}, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", ... |
{"_name_or_path": "mfreihaut/refinement-finetuned-mnli-1", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "gelu", "add_final_layer_norm": false, "architectures": ["BartForSequenceClassification"], "attention_dropout": 0.0, "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout": 0.0, "d_mod... |
{"_name_or_path": "bert-base-cased", "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": "fees", "1": "arc", "10": "association info",... |
{"_name_or_path": "bert-base-uncased", "architectures": ["BertForSequenceClassification"], "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_posit... |
{"_name_or_path": "facebook/wav2vec2-large-fr-voxpopuli", "activation_dropout": 0.05, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "c... |
{"_name_or_path": "bert-base-german-cased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "Positive", "1": "Negative", "2": "Neutral"}, "initializer_range": 0.02... |
{"_name_or_path": "microsoft/mpnet-base", "architectures": ["MPNetForSequenceClassification"], "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": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2"}, "initializer_range... |
{"_name_or_path": "bert-base-uncased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "NOT", "1": "OFF"}, "initializer_range": 0.02, "intermediate_size": 307... |
{"_name_or_path": "uvia-1-3", "architectures": ["Qwen2ForCausalLM"], "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151643, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 5504, "max_position_embeddings": 32768, "max_window_layers": 21, "model_type": "qwen2"... |
{"_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": "kravchenko/uk-mt5-base", "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_epsilon": 1e-... |
{"_name_or_path": "facebook/wav2vec2-large-es-voxpopuli", "activation_dropout": 0.05, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "c... |
{"_name_or_path": "bert-base-cased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "Non-Toxic", "1": "Toxic"}, "initializer_range": 0.02, "intermediate_size... |
{"_name_or_path": "svalabs/gbert-large-zeroshot-nli", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "finetuning_task": "text_classification", "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id... |
{"architectures": ["Glm4MoeLiteForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "torch_dtype": "bfloat16", "eos_token_id": [154820, 154827, 154829], "first_k_dense_replace": 1, "head_dim": 64, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 10240, "kv_lora_ran... |
{"_name_or_path": "mass-middle-uncased", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["MassModel"], "attention_dropout": 0.1, "bos_token_id": 101, "classif_dropout": 0.1, "classifier_dropout": 0.0, "d_model": 1024, "decoder_attentio... |
{"architectures": ["Glm4MoeForCausalLM"], "attention_bias": true, "attention_dropout": 0.0, "auto_map": {"AutoConfig": "configuration_glm4_moe.Glm4MoeConfig", "AutoModel": "modeling_glm4_moe.Glm4MoeModel", "AutoModelForCausalLM": "modeling_glm4_moe.Glm4MoeForCausalLM"}, "dtype": "bfloat16", "eos_token_id": [151334, 151... |
{"_name_or_path": "mass-base-uncased", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_final_layer_norm": false, "architectures": ["MassModel"], "attention_dropout": 0.1, "bos_token_id": 101, "classif_dropout": 0.1, "classifier_dropout": 0.0, "d_model": 768, "decoder_attention_h... |
{"_name_or_path": "facebook/wav2vec2-large-nl-voxpopuli", "activation_dropout": 0.05, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "c... |
{"_name_or_path": "bert-base-uncased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "Non-Toxic", "1": "Toxic"}, "initializer_range": 0.02, "intermediate_si... |
{"architectures": ["Qwen3ForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "float16", "eos_token_id": 151645, "head_dim": 128, "hidden_act": "silu", "hidden_size": 2560, "initializer_range": 0.02, "intermediate_size": 9728, "layer_types": ["full_attention", "full_attenti... |
{"activation_dropout": 0.0, "activation_function": "silu", "anchor_image_size": null, "architectures": ["PPDocLayoutV3ForObjectDetection"], "attention_dropout": 0.0, "backbone": null, "backbone_config": {"model_type": "hgnet_v2", "arch": "L", "return_idx": [0, 1, 2, 3], "freeze_stem_only": true, "freeze_at": 0, "freeze... |
{"_name_or_path": "HooshvareLab/distilbert-fa-zwnj-base", "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", "3": "LABEL_3", "4": "LABEL_4", "5": "LABEL_5",... |
{"_name_or_path": "AutoTrain", "activation": "gelu", "architectures": ["DistilBertForQuestionAnswering"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_length": 384, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "pad... |
{"_name_or_path": "microsoft/unispeech-sat-large", "activation_dropout": 0.05, "apply_spec_augment": true, "architectures": ["UniSpeechSatForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": false, "conv_dim": [51... |
{"_name_or_path": "google/electra-base-discriminator", "architectures": ["ElectraForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "NOT", "1": "OFF"}, "initializer_range": 0.02, "intermediate_s... |
{"architectures": ["PPLXQwen3Model"], "attention_bias": false, "attention_dropout": 0.0, "auto_map": {"AutoConfig": "configuration.PPLXQwen3Config", "AutoModel": "modeling.PPLXQwen3Model"}, "bos_token_id": 151643, "dtype": "float32", "eos_token_id": 151643, "head_dim": 128, "hidden_act": "silu", "hidden_size": 2560, "i... |
{"_name_or_path": "/kaggle/input/fine-tuning/tmp/checkpoint-42030", "architectures": ["T5ForConditionalGeneration"], "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, "i... |
{"_name_or_path": "roberta-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": "Non-Toxic", "1": "Toxic"}, "initia... |
{"_name_or_path": "AutoTrain", "activation": "gelu", "architectures": ["DistilBertForQuestionAnswering"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_length": 384, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "out... |
{"_name_or_path": "AutoTrain", "activation": "gelu", "architectures": ["DistilBertForQuestionAnswering"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "hidden_dim": 3072, "initializer_range": 0.02, "max_length": 384, "max_position_embeddings": 512, "model_type": "distilbert", "n_heads": 12, "n_layers": 6, "out... |
{"name_or_path": "tclf90/GLM-4.7-Flash-AWQ", "architectures": ["Glm4MoeLiteForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "pad_token_id": 154820, "eos_token_id": [154820, 154827, 154829], "hidden_act": "silu", "hidden_size": 2048, "intermediate_size": 10240, "max_position_embeddings": 202752, "model_... |
{"_name_or_path": "mohsenfayyaz/toxicity-classifier", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "gradient_checkpointing": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "Non-Toxic", "1": "Toxic"}, "initializer_range": 0.02, "... |
{"_name_or_path": "AutoTrain", "architectures": ["BertForQuestionAnswering"], "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_length": 384, "max_posi... |
{"_name_or_path": "bert-base-german-cased", "architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "Staff", "1": "Room", "2": "Food", "3": "Unknown", "4": "ReasonForStay"... |
{"_name_or_path": "AutoTrain", "activation": "gelu", "architectures": ["DistilBertForQuestionAnswering"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "finetuning_task": "sst-2", "hidden_dim": 3072, "id2label": {"0": "NEGATIVE", "1": "POSITIVE"}, "initializer_range": 0.02, "label2id": {"NEGATIVE": 0, "POSITIVE... |
{"input_size": 640, "task": "object-detection", "best_ap50": 0.3947243485213459} |
{"architectures": ["Qwen2_5_VLForConditionalGeneration"], "attention_dropout": 0.0, "bos_token_id": 151643, "eos_token_id": 151645, "hidden_act": "silu", "hidden_size": 3584, "image_token_id": 151655, "initializer_range": 0.02, "intermediate_size": 18944, "max_position_embeddings": 128000, "max_window_layers": 28, "mod... |
{"_name_or_path": "xlnet-base-cased", "architectures": ["XLNetForSequenceClassification"], "attn_type": "bi", "bi_data": false, "bos_token_id": 1, "clamp_len": -1, "d_head": 64, "d_inner": 3072, "d_model": 768, "dropout": 0.1, "end_n_top": 5, "eos_token_id": 2, "ff_activation": "gelu", "id2label": {"0": "NOT", "1": "OF... |
{"_name_or_path": "torch_model", "architectures": ["XLNetModel"], "attn_type": "bi", "bi_data": false, "bos_token_id": 1, "clamp_len": -1, "d_head": 64, "d_inner": 3072, "d_model": 768, "dropout": 0.1, "end_n_top": 5, "eos_token_id": 2, "ff_activation": "gelu", "initializer_range": 0.02, "layer_norm_eps": 1e-12, "mem_l... |
{"_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": "facebook/wav2vec2-xls-r-300m", "activation_dropout": 0.05, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contrasti... |
{"_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": "Unknown", "1": "Food", "2": "GeneralUtilit... |
{"_name_or_path": "xlnet-base-cased", "architectures": ["XLNetForSequenceClassification"], "attn_type": "bi", "bi_data": false, "bos_token_id": 1, "clamp_len": -1, "d_head": 64, "d_inner": 3072, "d_model": 768, "dropout": 0.1, "end_n_top": 5, "eos_token_id": 2, "ff_activation": "gelu", "id2label": {"0": "Non-Toxic", "1... |
{"architectures": ["GPTNeoXForCausalLM"], "attention_probs_dropout_prob": 0.0, "bos_token_id": 1, "eos_token_id": 2, "pad_token_id": 0, "unk_token_id": 5, "hidden_act": "gelu_fast", "hidden_dropout_prob": 0.0, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-05, "max_positi... |
{"_name_or_path": "Code/checkpoints/pretrain/base_3_90689/discriminator", "architectures": ["ElectraForPreTraining"], "attention_probs_dropout_prob": 0.1, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": ... |
{"_name_or_path": "facebook/wav2vec2-large-robust", "activation_dropout": 0.05, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": false, "apply_spec_augment": true, "architectures": ["Wav2Vec2ForCTC"], "attention_dropout": 0.05, "bos_token_id": 1, "classifier_proj_size": 256, "codevector_dim": 768, "contras... |
{"architectures": ["Qwen2_5_VLForConditionalGeneration"], "attention_dropout": 0.0, "dtype": "bfloat16", "eos_token_id": 151645, "hidden_act": "silu", "hidden_size": 2048, "image_token_id": 151655, "initializer_range": 0.02, "intermediate_size": 11008, "max_position_embeddings": 128000, "max_window_layers": 70, "model_... |
{"_name_or_path": "GroNLP/bert-base-dutch-cased", "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, "initializer_range": 0.02, "intermediate_size": 30... |
{"_name_or_path": "Code/checkpoints/pretrain/base_3_90689/generator", "architectures": ["ElectraForPreTraining"], "attention_probs_dropout_prob": 0.1, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 256, "initializer_range": 0.02, "intermediate_size": 1024, "layer_norm_eps": 1e-1... |
{"architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "dtype": "float32", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 128, "id2label": {"0": "audio", "1": "video", "2": "software", "3": "book", "4": "other"}, "initializer_range": 0.02,... |
{"_name_or_path": "ClueAI/PromptCLUE-base", "architectures": ["T5ForConditionalGeneration"], "d_ff": 2048, "d_kv": 64, "d_model": 768, "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... |
{"model_type": "custom_qwen_image", "architectures": ["NunchakuQwenImageModel"], "name_or_path": "QuantFunc/Nunchaku-Qwen-Image-EDIT-2511", "task": "image-generation", "framework": "custom", "license": "apache-2.0", "parameters": 2511, "description": "Nunchaku variant of Qwen for image edit generation / multimodal task... |
{"_name_or_path": "Code/checkpoints/pretrain/small_13_61710/discriminator", "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"... |
{"_name_or_path": "free-smallgpt-3epoch", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 0, "embd_pdrop": 0.1, "eos_token_id": 1, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_embd": 768, "n_head": 8, "n_inner": null, "n_lay... |
{"_name_or_path": "/content/ 2 Label 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, "initializer_range": 0.02, "intermediate_size": ... |
{"_name_or_path": "postbot/distilgpt2-emailgen-V2", "_num_labels": 1, "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "label2id": {"LABEL_0": 0}, "layer_n... |
{"_name_or_path": "/content/model_DAPT_run_mlm", "architectures": ["RobertaModel"], "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, "intermediate_size": 3072, "lay... |
{"_name_or_path": "KETI-AIR/ke-t5-base-ko", "architectures": ["T5ForConditionalGeneration"], "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_epsilon": 1e-0... |
{"_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": "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": "Neutral", "1": "Negative", "2": "Positive"... |
{"architectures": ["Qwen2_5_VLForConditionalGeneration"], "attention_dropout": 0.0, "eos_token_id": 151645, "hidden_act": "silu", "hidden_size": 8192, "image_token_id": 151655, "initializer_range": 0.02, "intermediate_size": 29568, "max_position_embeddings": 128000, "max_window_layers": 80, "model_type": "qwen2_5_vl", ... |
{"_name_or_path": "distilbert-base-uncased", "activation": "gelu", "architectures": ["DistilBertForSequenceClassification"], "attention_dropout": 0.1, "dim": 768, "dropout": 0.1, "finetuning_task": "mrpc", "hidden_dim": 3072, "id2label": {"0": "not_equivalent", "1": "equivalent"}, "initializer_range": 0.02, "label2id":... |
{"_name_or_path": "Code/checkpoints/pretrain/small_13_61710/generator", "architectures": ["ElectraForPreTraining"], "attention_probs_dropout_prob": 0.1, "embedding_size": 128, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 64, "initializer_range": 0.02, "intermediate_size": 256, "layer_norm_eps": 1e-1... |
{"_name_or_path": "/content/model_TAPT_run_mlm", "architectures": ["RobertaModel"], "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... |
{"_num_labels": 1, "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 0, "embd_pdrop": 0.1, "eos_token_id": 1, "gradient_checkpointing": false, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "label2id": {"LABEL_0": 0}, "layer_norm_epsilon": 1e-05, "mode... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.