Transformers
PyTorch
rag
Inference Endpoints
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Update config.json

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  1. config.json +173 -0
config.json ADDED
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+ {
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+ "architectures": [
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+ "RagSequenceForGeneration"
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+ ],
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+ "dataset": "wiki_dpr",
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+ "dataset_split": "train",
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+ "doc_sep": " // ",
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+ "generator": {
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+ "_num_labels": 3,
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "add_bias_logits": false,
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+ "add_cross_attention": false,
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartModel",
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+ "BartForMaskedLM",
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+ "BartForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bad_words_ids": null,
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+ "bos_token_id": 0,
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+ "chunk_size_feed_forward": 0,
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+ "d_model": 1024,
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+ "decoder_attention_heads": 16,
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+ "decoder_ffn_dim": 4096,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 12,
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+ "decoder_start_token_id": 2,
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+ "do_sample": false,
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+ "dropout": 0.1,
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+ "early_stopping": false,
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+ "encoder_attention_heads": 16,
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+ "encoder_ffn_dim": 4096,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 12,
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+ "eos_token_id": 2,
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+ "extra_pos_embeddings": 2,
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+ "finetuning_task": null,
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+ "force_bos_token_to_be_generated": false,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2"
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+ },
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+ "init_std": 0.02,
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+ "is_decoder": false,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2
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+ },
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+ "length_penalty": 1.0,
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+ "max_length": 20,
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+ "max_position_embeddings": 1024,
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+ "min_length": 0,
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+ "model_type": "bart",
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+ "no_repeat_ngram_size": 0,
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+ "normalize_before": false,
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+ "normalize_embedding": true,
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+ "num_beams": 1,
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+ "num_hidden_layers": 12,
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+ "num_return_sequences": 1,
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+ "output_attentions": false,
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+ "output_hidden_states": false,
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+ "output_past": false,
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+ "pad_token_id": 1,
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+ "prefix": " ",
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+ "pruned_heads": {},
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+ "repetition_penalty": 1.0,
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+ "return_dict": false,
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+ "scale_embedding": false,
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+ "static_position_embeddings": false,
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+ "task_specific_params": {
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+ "summarization": {
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+ "early_stopping": true,
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+ "length_penalty": 2.0,
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+ "max_length": 142,
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+ "min_length": 56,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4
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+ }
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+ },
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+ "temperature": 1.0,
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+ "tie_encoder_decoder": false,
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+ "tie_word_embeddings": true,
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+ "tokenizer_class": null,
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+ "top_k": 50,
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+ "top_p": 1.0,
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+ "torchscript": false,
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+ "use_bfloat16": false,
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+ "use_cache": true,
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+ "vocab_size": 50265,
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+ "xla_device": null
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+ },
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+ "index_name": "exact",
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+ "index_path": null,
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+ "is_encoder_decoder": true,
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+ "max_combined_length": 300,
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+ "model_type": "rag",
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+ "n_docs": 5,
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+ "passages_path": null,
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+ "question_encoder": {
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+ "add_cross_attention": false,
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+ "architectures": [
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+ "DPRQuestionEncoder"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bad_words_ids": null,
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+ "bos_token_id": null,
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+ "chunk_size_feed_forward": 0,
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+ "decoder_start_token_id": null,
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+ "do_sample": false,
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+ "early_stopping": false,
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+ "eos_token_id": null,
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+ "finetuning_task": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "is_decoder": false,
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+ "is_encoder_decoder": false,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "length_penalty": 1.0,
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+ "max_length": 20,
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+ "max_position_embeddings": 512,
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+ "min_length": 0,
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+ "model_type": "dpr",
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+ "no_repeat_ngram_size": 0,
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+ "num_attention_heads": 12,
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+ "num_beams": 1,
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+ "num_hidden_layers": 12,
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+ "num_return_sequences": 1,
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+ "output_attentions": false,
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+ "output_hidden_states": false,
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+ "pad_token_id": 0,
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+ "prefix": null,
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+ "projection_dim": 0,
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+ "pruned_heads": {},
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+ "repetition_penalty": 1.0,
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+ "return_dict": false,
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+ "task_specific_params": null,
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+ "temperature": 1.0,
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+ "tie_encoder_decoder": false,
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+ "tie_word_embeddings": true,
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+ "tokenizer_class": null,
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+ "top_k": 50,
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+ "top_p": 1.0,
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+ "torchscript": false,
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+ "type_vocab_size": 2,
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+ "use_bfloat16": false,
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+ "use_cache": true,
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+ "vocab_size": 30522,
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+ "xla_device": null
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+ },
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+ "retrieval_batch_size": 8,
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+ "retrieval_vector_size": 768,
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+ "title_sep": " / ",
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+ "use_dummy_dataset": false,
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+ "vocab_size": null
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+ }