text stringlengths 21 3.17k |
|---|
{"_name_or_path": "t5-efficient-base-ff12000", "architectures": ["T5ForConditionalGeneration"], "d_ff": 12288, "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,... |
{"_name_or_path": "CenIA/albert_base_spanish", "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", "hidden_dropout_prob": 0, "hid... |
{"_name_or_path": "t5-efficient-base-ff2000", "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": "relu", "initializer_factor": 1.0, "is_encoder_decoder": true, "layer_norm_epsilon": 1e-06, "... |
{"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext", "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, "... |
{"activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 768, "n_head": 12, "n_inne... |
{"_name_or_path": "t5-efficient-base-ff6000", "architectures": ["T5ForConditionalGeneration"], "d_ff": 6144, "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, "... |
{"_name_or_path": "CenIA/albert_base_spanish", "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, "finetuning_task": "pos", "gap_size": 0, "hidden_act": "gelu", "hidden... |
{"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_embeddings": 512, "model_type": "bert", "num_attentio... |
{"_name_or_path": "t5-efficient-base-ff9000", "architectures": ["T5ForConditionalGeneration"], "d_ff": 9216, "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, "... |
{"_name_or_path": "t5-efficient-base-kv128", "architectures": ["T5ForConditionalGeneration"], "d_ff": 3072, "d_kv": 128, "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, "... |
{"_name_or_path": "dmis-lab/biobert-v1.1", "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_n... |
{"_name_or_path": "CenIA/albert_base_spanish", "architectures": ["AlbertForQuestionAnswering"], "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", "hidden_dropout_prob": 0, "hidden_s... |
{"_name_or_path": "t5-efficient-base-kv16", "architectures": ["T5ForConditionalGeneration"], "d_ff": 3072, "d_kv": 16, "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, "mo... |
{"_name_or_path": "Helsinki-NLP/opus-mt-en-fr", "_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": [[59513]], "bos_token_id": 0, "classif_dropout": 0.0, "clas... |
{"_name_or_path": "t5-efficient-base-kv256", "architectures": ["T5ForConditionalGeneration"], "d_ff": 3072, "d_kv": 256, "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, "... |
{"_name_or_path": "CenIA/albert_base_spanish", "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", "hidden_dropout_prob": 0, "hid... |
{"_name_or_path": "CenIA/albert_large_spanish", "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", "hidden_dropout_prob": 0, "hi... |
{"_name_or_path": "Helsinki-NLP/opus-mt-en-vi", "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": [[53684]], "bos_token_id": 0, "classif_dropout": 0.0, "classifier_dropout": 0... |
{"_name_or_path": "CenIA/albert_large_spanish", "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, "finetuning_task": "ner", "gap_size": 0, "hidden_act": "gelu", "hidde... |
{"_name_or_path": "CenIA/albert_base_spanish", "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, "finetuning_task": "xnli", "gap_size": 0, "hidden_act": "gelu", "hi... |
{"_name_or_path": "t5-efficient-base-nh16", "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, "mo... |
{"_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": "0", "1": "1"}, "initializer_range": 0.02, "intermediate_size":... |
{"_name_or_path": "Helsinki-NLP/opus-mt-en-ro", "_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": [[59542]], "bos_token_id": 0, "classif_dropout": 0.0, "clas... |
{"_name_or_path": "CenIA/albert_base_spanish", "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, "finetuning_task": "ner", "gap_size": 0, "hidden_act": "gelu", "hidden... |
{"_name_or_path": "CenIA/albert_large_spanish", "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", "hidden_dropout_prob": 0, "hi... |
{"_name_or_path": "t5-efficient-base-nh32", "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, "mo... |
{"_name_or_path": "CenIA/albert_large_spanish", "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, "finetuning_task": "pos", "gap_size": 0, "hidden_act": "gelu", "hidde... |
{"_name_or_path": "t5-efficient-base-nh24", "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, "mo... |
{"_name_or_path": "vinai/phobert-large", "architectures": ["RobertaForSequenceClassification"], "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": 1024, "id2label": {"0":... |
{"_name_or_path": "t5-efficient-base-kv32", "architectures": ["T5ForConditionalGeneration"], "d_ff": 3072, "d_kv": 32, "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, "mo... |
{"_name_or_path": "CenIA/albert_large_spanish", "architectures": ["AlbertForQuestionAnswering"], "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", "hidden_dropout_prob": 0, "hidden_... |
{"_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, "initializer_range": 0.02, "intermediate_size": 3072,... |
{"_name_or_path": "t5-efficient-base-nh8", "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, "mod... |
{"_name_or_path": "t5-efficient-base-nl16", "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, "mo... |
{"_name_or_path": "deepset/xlm-roberta-base-squad2-distilled", "architectures": ["XLMRobertaForQuestionAnswering"], "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... |
{"_name_or_path": "CenIA/albert_large_spanish", "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, "finetuning_task": "xnli", "gap_size": 0, "hidden_act": "gelu", "h... |
{"_name_or_path": "CenIA/albert_tiny_spanish", "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", "hidden_dropout_prob": 0, "hid... |
{"_name_or_path": "t5-efficient-base-nl2", "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, "mod... |
{"_name_or_path": "CenIA/albert_tiny_spanish", "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, "finetuning_task": "ner", "gap_size": 0, "hidden_act": "gelu", "hidden... |
{"_name_or_path": "CenIA/albert_tiny_spanish", "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", "hidden_dropout_prob": 0, "hid... |
{"_name_or_path": "super-model", "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_position_em... |
{"_name_or_path": "t5-efficient-base-nl24", "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, "mo... |
{"_name_or_path": "t5-efficient-base-nl32", "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, "mo... |
{"_name_or_path": "CenIA/albert_tiny_spanish", "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, "finetuning_task": "pos", "gap_size": 0, "hidden_act": "gelu", "hidden... |
{"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": 1024, "n_head": 16, "n_layer": 24, "n_positions": 1024, "re... |
{"_name_or_path": "allenai/longformer-base-4096", "architectures": ["LongformerModel"], "attention_mode": "longformer", "attention_probs_dropout_prob": 0.1, "attention_window": [512, 512, 512, 512, 512, 512, 512, 512, 512, 512, 512, 512], "bos_token_id": 0, "classifier_dropout": null, "eos_token_id": 2, "gradient_check... |
{"_name_or_path": "t5-efficient-base-nl36", "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, "mo... |
{"_name_or_path": "CenIA/albert_tiny_spanish", "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, "finetuning_task": "xnli", "gap_size": 0, "hidden_act": "gelu", "hi... |
{"_name_or_path": "CenIA/albert_tiny_spanish", "architectures": ["AlbertForQuestionAnswering"], "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", "hidden_dropout_prob": 0, "hidden_s... |
{"activation_dropout": 0.0, "activation_function": "gelu", "add_bias_logits": false, "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": 768, "decoder_attention_heads": 12, "decoder_f... |
{"_name_or_path": "t5-efficient-base-nl4", "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, "mod... |
{"_name_or_path": "CenIA/albert_xlarge_spanish", "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", "hidden_dropout_prob": 0, "h... |
{"_name_or_path": "t5-efficient-base-nl40", "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, "mo... |
{"_name_or_path": "t5-efficient-base-nl48", "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, "mo... |
{"_name_or_path": "cm_code_clippy", "activation_function": "gelu_new", "architectures": ["GPTNeoForCausalLM"], "attention_dropout": 0, "attention_layers": ["global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local"], "attention_types": [[["global", "local"], 6]], "b... |
{"_name_or_path": "CenIA/albert_xlarge_spanish", "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, "finetuning_task": "ner", "gap_size": 0, "hidden_act": "gelu", "hidd... |
{"_name_or_path": "t5-efficient-base-nl8", "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, "mod... |
{"_name_or_path": "CenIA/albert_xlarge_spanish", "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", "hidden_dropout_prob": 0, "h... |
{"_name_or_path": "cm_codeparrot", "activation_function": "gelu_new", "architectures": ["GPTNeoForCausalLM"], "attention_dropout": 0, "attention_layers": ["global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local"], "attention_types": [[["global", "local"], 6]], "bo... |
{"_name_or_path": "output-medium", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n... |
{"_name_or_path": "t5-efficient-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_t... |
{"_name_or_path": "t5-efficient-large-dl12", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "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, "... |
{"_name_or_path": "code-clippy-125M-py", "activation_function": "gelu_new", "architectures": ["GPTNeoForCausalLM"], "attention_dropout": 0, "attention_layers": ["global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local"], "attention_types": [[["global", "local"], 6]... |
{"_name_or_path": "CenIA/albert_xlarge_spanish", "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, "finetuning_task": "pos", "gap_size": 0, "hidden_act": "gelu", "hidd... |
{"model_name": "microsoft/codebert-base", "max_seq_length": 256} |
{"_name_or_path": "CenIA/albert_xlarge_spanish", "architectures": ["AlbertForQuestionAnswering"], "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", "hidden_dropout_prob": 0, "hidden... |
{"_name_or_path": "t5-efficient-large-dl16", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "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, "... |
{"_name_or_path": "t5-efficient-large-dl2", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "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, "m... |
{"_name_or_path": "microsoft/codebert-base", "architectures": ["RobertaModel"], "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, "interm... |
{"_name_or_path": "CenIA/albert_xlarge_spanish", "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, "finetuning_task": "xnli", "gap_size": 0, "hidden_act": "gelu", "... |
{"_name_or_path": "codeparrot-neo-125M-py", "activation_function": "gelu_new", "architectures": ["GPTNeoForCausalLM"], "attention_dropout": 0, "attention_layers": ["global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local"], "attention_types": [[["global", "local"],... |
{"_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, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 7... |
{"_name_or_path": "CenIA/albert_xxlarge_spanish", "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", "hidden_dropout_prob": 0, "... |
{"_name_or_path": "codeparrot-py", "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_inn... |
{"_name_or_path": "t5-efficient-large-dl32", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "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, "... |
{"_name_or_path": "CenIA/albert_xxlarge_spanish", "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, "finetuning_task": "ner", "gap_size": 0, "hidden_act": "gelu", "hid... |
{"_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, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_embd": 7... |
{"_name_or_path": "t5-efficient-large-dl4", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "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, "m... |
{"_name_or_path": "output-small", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "gradient_checkpointing": false, "initializer_range": 0.02, "layer_norm_epsilon": 1e-05, "model_type": "gpt2", "n_ctx": 1024, "n_... |
{"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": null, "n_layer": 36, "n_posi... |
{"_name_or_path": "t5-efficient-large-dl6", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "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, "m... |
{"activation_function": "gelu_new", "architectures": ["GPTNeoForCausalLM"], "attention_dropout": 0, "attention_layers": ["global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local"], "attention_types": [[["global", "local"], 6]], "bos_token_id": 50000, "embed_dropout... |
{"_name_or_path": "Grossmend/rudialogpt3_medium_based_on_gpt2", "activation_function": "gelu_new", "architectures": ["GPT2LMHeadModel"], "attn_pdrop": 0.1, "bos_token_id": 50256, "embd_pdrop": 0.1, "eos_token_id": 50256, "gradient_checkpointing": false, "id2label": {"0": "LABEL_0"}, "initializer_range": 0.02, "label2id... |
{"_name_or_path": "CenIA/albert_xxlarge_spanish", "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", "hidden_dropout_prob": 0, "... |
{"_name_or_path": "t5-efficient-large-dm128", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 128, "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, "... |
{"_name_or_path": "CenIA/albert_xxlarge_spanish", "architectures": ["AlbertForQuestionAnswering"], "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", "hidden_dropout_prob": 0, "hidde... |
{"_name_or_path": "CenIA/albert_xxlarge_spanish", "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, "finetuning_task": "xnli", "gap_size": 0, "hidden_act": "gelu", ... |
{"activation_function": "gelu_new", "architectures": ["GPTNeoForCausalLM"], "attention_dropout": 0, "attention_layers": ["global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local"], "attention_types": [[["global", "local"], 6]], "bos_token_id": 50001, "embed_dropout... |
{"_name_or_path": "CenIA/albert_xxlarge_spanish", "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, "finetuning_task": "pos", "gap_size": 0, "hidden_act": "gelu", "hid... |
{"_name_or_path": "../convert_models/albert_base_spanish/converted", "architectures": ["AlbertForPreTraining"], "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", "hidden_dropout_pro... |
{"q_model_name": "distilbert-base-multilingual-cased", "m_model_name": "microsoft/codebert-base", "d_out": 512, "lr": 0.001} |
{"_name_or_path": "t5-efficient-large-dl8", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 1024, "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, "m... |
{"_name_or_path": "t5-efficient-large-dm256", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 256, "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, "... |
{"_name_or_path": "neo-code-py", "activation_function": "gelu_new", "architectures": ["GPTNeoForCausalLM"], "attention_dropout": 0, "attention_layers": ["global", "local", "global", "local", "global", "local", "global", "local", "global", "local", "global", "local"], "attention_types": [[["global", "local"], 6]], "bos_... |
{"_name_or_path": "t5-efficient-large-dm2000", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "d_kv": 64, "d_model": 2048, "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,... |
{"_name_or_path": "../convert_models/albert_large_spanish/converted", "architectures": ["AlbertForPreTraining"], "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", "hidden_dropout_pr... |
{"_name_or_path": "t5-efficient-large-dm512", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "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, "... |
{"_name_or_path": "../convert_models/albert_tiny_spanish/converted", "architectures": ["AlbertForPreTraining"], "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", "hidden_dropout_pro... |
{"_name_or_path": "t5-efficient-large-dm768", "architectures": ["T5ForConditionalGeneration"], "d_ff": 4096, "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, "... |
{"_name_or_path": "../convert_models/albert_xlarge_spanish/converted", "architectures": ["AlbertForPreTraining"], "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", "hidden_dropout_p... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.