Commit From AutoNLP
Browse files- .gitattributes +2 -0
- README.md +32 -0
- config.json +123 -0
- pytorch_model.bin +3 -0
- sample_input.pkl +3 -0
- special_tokens_map.json +1 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags: autonlp
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language: en
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widget:
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- text: "I love AutoNLP 🤗"
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datasets:
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- mmcquade11/autonlp-data-reuters-summarization
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co2_eq_emissions: 286.4350821612984
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---
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# Model Trained Using AutoNLP
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- Problem type: Summarization
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- Model ID: 34018133
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- CO2 Emissions (in grams): 286.4350821612984
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## Validation Metrics
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- Loss: 1.1805976629257202
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- Rouge1: 55.4013
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- Rouge2: 30.8004
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- RougeL: 52.57
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- RougeLsum: 52.6103
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- Gen Len: 15.3458
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## Usage
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You can use cURL to access this model:
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```
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$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/mmcquade11/autonlp-reuters-summarization-34018133
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```
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config.json
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{
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"_name_or_path": "AutoNLP",
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"activation_dropout": 0.1,
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"activation_function": "relu",
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"add_bias_logits": false,
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"add_final_layer_norm": true,
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"architectures": [
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"PegasusForConditionalGeneration"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"classif_dropout": 0.0,
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"classifier_dropout": 0.0,
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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": 16,
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"decoder_start_token_id": 0,
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"dropout": 0.1,
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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": 16,
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"eos_token_id": 1,
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"extra_pos_embeddings": 1,
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"force_bos_token_to_be_generated": false,
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"forced_eos_token_id": 1,
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"gradient_checkpointing": 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_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": 0.8,
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"max_length": 256,
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"max_position_embeddings": 1024,
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"model_type": "pegasus",
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"normalize_before": true,
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"normalize_embedding": false,
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"num_beams": 8,
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"num_hidden_layers": 16,
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"pad_token_id": 0,
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"scale_embedding": true,
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"static_position_embeddings": true,
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"task_specific_params": {
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"summarization_aeslc": {
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"length_penalty": 0.6,
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"max_length": 32,
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"max_position_embeddings": 512
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},
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"summarization_arxiv": {
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"length_penalty": 0.8,
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"max_length": 256,
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"max_position_embeddings": 1024
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},
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"summarization_big_patent": {
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"length_penalty": 0.7,
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"max_length": 256,
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"max_position_embeddings": 1024
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},
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"summarization_billsum": {
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"length_penalty": 0.6,
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"max_length": 256,
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"max_position_embeddings": 1024
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},
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"summarization_cnn_dailymail": {
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"length_penalty": 0.8,
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"max_length": 128,
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"max_position_embeddings": 1024
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},
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"summarization_gigaword": {
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"length_penalty": 0.6,
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"max_length": 32,
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"max_position_embeddings": 128
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},
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"summarization_large": {
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"length_penalty": 0.8,
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"max_length": 256,
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"max_position_embeddings": 1024
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},
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"summarization_multi_news": {
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"length_penalty": 0.8,
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"max_length": 256,
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"max_position_embeddings": 1024
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},
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"summarization_newsroom": {
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"length_penalty": 0.8,
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"max_length": 128,
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"max_position_embeddings": 512
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},
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"summarization_pubmed": {
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"length_penalty": 0.8,
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"max_length": 256,
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"max_position_embeddings": 1024
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},
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"summarization_reddit_tifu": {
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"length_penalty": 0.6,
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"max_length": 128,
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"max_position_embeddings": 512
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},
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"summarization_wikihow": {
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"length_penalty": 0.6,
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"max_length": 256,
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"max_position_embeddings": 512
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},
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"summarization_xsum": {
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"length_penalty": 0.8,
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"max_length": 64,
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"max_position_embeddings": 512
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}
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},
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"transformers_version": "4.8.0",
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"use_cache": true,
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"vocab_size": 96103
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:50374287288e16139ed69832ca257eb098e66fd7fa0d2339f1f4b89b07b64748
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size 2283825905
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sample_input.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:3daa68ee397baa25a3914db7a1d3e539ebc507d1482d5c97b59c627d97a334fc
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size 24553
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special_tokens_map.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask_2>", "additional_special_tokens": ["<mask_1>", "<unk_2>", "<unk_3>", "<unk_4>", "<unk_5>", "<unk_6>", "<unk_7>", "<unk_8>", "<unk_9>", "<unk_10>", "<unk_11>", "<unk_12>", "<unk_13>", "<unk_14>", "<unk_15>", "<unk_16>", "<unk_17>", "<unk_18>", "<unk_19>", "<unk_20>", "<unk_21>", "<unk_22>", "<unk_23>", "<unk_24>", "<unk_25>", "<unk_26>", "<unk_27>", "<unk_28>", "<unk_29>", "<unk_30>", "<unk_31>", "<unk_32>", "<unk_33>", "<unk_34>", "<unk_35>", "<unk_36>", "<unk_37>", "<unk_38>", "<unk_39>", "<unk_40>", "<unk_41>", "<unk_42>", "<unk_43>", "<unk_44>", "<unk_45>", "<unk_46>", "<unk_47>", "<unk_48>", "<unk_49>", "<unk_50>", "<unk_51>", "<unk_52>", "<unk_53>", "<unk_54>", "<unk_55>", "<unk_56>", "<unk_57>", "<unk_58>", "<unk_59>", "<unk_60>", "<unk_61>", "<unk_62>", "<unk_63>", "<unk_64>", "<unk_65>", "<unk_66>", "<unk_67>", "<unk_68>", "<unk_69>", "<unk_70>", "<unk_71>", "<unk_72>", "<unk_73>", "<unk_74>", "<unk_75>", "<unk_76>", "<unk_77>", "<unk_78>", "<unk_79>", "<unk_80>", "<unk_81>", "<unk_82>", "<unk_83>", "<unk_84>", "<unk_85>", "<unk_86>", "<unk_87>", "<unk_88>", "<unk_89>", "<unk_90>", "<unk_91>", "<unk_92>", "<unk_93>", "<unk_94>", "<unk_95>", "<unk_96>", "<unk_97>", "<unk_98>", "<unk_99>", "<unk_100>", "<unk_101>", "<unk_102>"]}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:0015189ef36359283fec8b93cf6d9ce51bca37eb1101defc68a53b394913b96c
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size 1912529
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tokenizer.json
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tokenizer_config.json
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{"pad_token": "<pad>", "eos_token": "</s>", "unk_token": "<unk>", "mask_token": "<mask_2>", "mask_token_sent": "<mask_1>", "offset": 103, "additional_special_tokens": ["<mask_1>", "<unk_2>", "<unk_3>", "<unk_4>", "<unk_5>", "<unk_6>", "<unk_7>", "<unk_8>", "<unk_9>", "<unk_10>", "<unk_11>", "<unk_12>", "<unk_13>", "<unk_14>", "<unk_15>", "<unk_16>", "<unk_17>", "<unk_18>", "<unk_19>", "<unk_20>", "<unk_21>", "<unk_22>", "<unk_23>", "<unk_24>", "<unk_25>", "<unk_26>", "<unk_27>", "<unk_28>", "<unk_29>", "<unk_30>", "<unk_31>", "<unk_32>", "<unk_33>", "<unk_34>", "<unk_35>", "<unk_36>", "<unk_37>", "<unk_38>", "<unk_39>", "<unk_40>", "<unk_41>", "<unk_42>", "<unk_43>", "<unk_44>", "<unk_45>", "<unk_46>", "<unk_47>", "<unk_48>", "<unk_49>", "<unk_50>", "<unk_51>", "<unk_52>", "<unk_53>", "<unk_54>", "<unk_55>", "<unk_56>", "<unk_57>", "<unk_58>", "<unk_59>", "<unk_60>", "<unk_61>", "<unk_62>", "<unk_63>", "<unk_64>", "<unk_65>", "<unk_66>", "<unk_67>", "<unk_68>", "<unk_69>", "<unk_70>", "<unk_71>", "<unk_72>", "<unk_73>", "<unk_74>", "<unk_75>", "<unk_76>", "<unk_77>", "<unk_78>", "<unk_79>", "<unk_80>", "<unk_81>", "<unk_82>", "<unk_83>", "<unk_84>", "<unk_85>", "<unk_86>", "<unk_87>", "<unk_88>", "<unk_89>", "<unk_90>", "<unk_91>", "<unk_92>", "<unk_93>", "<unk_94>", "<unk_95>", "<unk_96>", "<unk_97>", "<unk_98>", "<unk_99>", "<unk_100>", "<unk_101>", "<unk_102>"], "model_max_length": 1024, "special_tokens_map_file": null, "full_tokenizer_file": null, "name_or_path": "AutoNLP", "sp_model_kwargs": {}, "tokenizer_class": "PegasusTokenizer"}
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