Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:500431
loss:SoftmaxLoss
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use MasterControlAIML/finetuned-ecfr-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use MasterControlAIML/finetuned-ecfr-embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MasterControlAIML/finetuned-ecfr-embeddings") sentences = [ "The name/business name, address/business address, and contact information of the export broker, including telephone numbers and email addresses.", "If an export broker is used, you must provide their full business details along with ways to contact them such as phone numbers and emails.", "Order form records are required to be maintained as per section 1305 of the regulations.", "Only the name and address of the export broker are necessary; there's no need to include contact information like phone numbers or emails." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Add new SentenceTransformer model.
Browse files- 1_Pooling/config.json +10 -0
- README.md +0 -0
- config.json +24 -0
- config_sentence_transformers.json +10 -0
- model.safetensors +3 -0
- modules.json +20 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +72 -0
- vocab.txt +0 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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config.json
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{
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"_name_or_path": "models/fine-tuned-triplet/checkpoint-11733",
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"architectures": [
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"MPNetModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "mpnet",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.45.2",
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"vocab_size": 30527
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "3.1.1",
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"transformers": "4.45.2",
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"pytorch": "2.4.1+cu121"
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},
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"prompts": {},
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"default_prompt_name": null,
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"similarity_fn_name": null
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:650483cd9df776e5459b8daf434da87d657fd6182e5454f98d327ee04b695b22
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size 437967672
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.models.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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},
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{
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"idx": 2,
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"name": "2",
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"path": "2_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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]
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sentence_bert_config.json
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{
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"max_seq_length": 384,
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"do_lower_case": false
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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| 3 |
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"0": {
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| 4 |
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"content": "<s>",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
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| 10 |
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},
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| 11 |
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"1": {
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"content": "<pad>",
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| 13 |
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"lstrip": false,
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| 14 |
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"normalized": false,
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| 15 |
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"rstrip": false,
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| 16 |
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"single_word": false,
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| 17 |
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"special": true
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| 18 |
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},
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| 19 |
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"2": {
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| 20 |
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"content": "</s>",
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| 21 |
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"lstrip": false,
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| 22 |
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"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
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"single_word": false,
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| 25 |
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"special": true
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| 26 |
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},
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| 27 |
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"3": {
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| 28 |
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"content": "<unk>",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": true,
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| 31 |
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"rstrip": false,
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| 32 |
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"single_word": false,
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| 33 |
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"special": true
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| 34 |
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},
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| 35 |
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"104": {
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| 36 |
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"content": "[UNK]",
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| 37 |
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"lstrip": false,
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| 38 |
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"normalized": false,
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| 39 |
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"rstrip": false,
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| 40 |
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"single_word": false,
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| 41 |
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"special": true
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| 42 |
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},
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| 43 |
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"30526": {
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| 44 |
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"content": "<mask>",
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| 45 |
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"lstrip": true,
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| 46 |
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"normalized": false,
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| 47 |
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"rstrip": false,
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| 48 |
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"single_word": false,
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| 49 |
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"special": true
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| 50 |
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}
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| 51 |
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},
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| 52 |
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"bos_token": "<s>",
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| 53 |
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"clean_up_tokenization_spaces": false,
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| 54 |
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"cls_token": "<s>",
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| 55 |
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"do_lower_case": true,
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| 56 |
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"eos_token": "</s>",
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| 57 |
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"mask_token": "<mask>",
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| 58 |
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"max_length": 128,
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| 59 |
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"model_max_length": 384,
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| 60 |
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"pad_to_multiple_of": null,
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| 61 |
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"pad_token": "<pad>",
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| 62 |
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"pad_token_type_id": 0,
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| 63 |
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"padding_side": "right",
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| 64 |
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"sep_token": "</s>",
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"stride": 0,
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| 66 |
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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| 68 |
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"tokenizer_class": "MPNetTokenizer",
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| 69 |
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"truncation_side": "right",
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| 70 |
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"truncation_strategy": "longest_first",
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| 71 |
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"unk_token": "[UNK]"
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}
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vocab.txt
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