Push model using huggingface_hub.
Browse files- 1_Pooling/config.json +10 -0
- README.md +0 -0
- config.json +24 -0
- config_sentence_transformers.json +10 -0
- config_setfit.json +18 -0
- model.safetensors +3 -0
- model_head.pkl +3 -0
- modules.json +14 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +60 -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": "sentence-transformers/paraphrase-mpnet-base-v2",
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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": "4.49.0",
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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": "3.3.1",
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"transformers": "4.49.0",
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"pytorch": "2.6.0"
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},
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"prompts": {},
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"default_prompt_name": null,
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"similarity_fn_name": "cosine"
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}
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config_setfit.json
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{
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"normalize_embeddings": false,
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"labels": [
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"4.3 Poverty and inequality: Addresses the root causes and manifestations of poverty, income disparities, and social inequities, particularly in rural areas and agrifood value chains, striving for inclusive growth.",
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"4.2 Access to Essential Infrastructure and Services: Ensures that rural and agrifood communities benefit from infrastructure (energy, transport, communications) and social services (health, education), improving well-being and productivity.",
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"6.3.4 Effectiveness of Policy Implementation: Assesses how well policies are executed, supported, and monitored, ensuring that institutions deliver on their commitments and enable positive outcomes.",
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"1.1. Food Security & Nutrition: Encompasses ensuring everyone\u2019s access to sufficient, safe, and nutritious food, improving overall dietary intake and nutritional well-being.",
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"5.2 Resilience Capacities (absorptive, adaptive & transformative): Promotes building skills, diversifying options, strengthening networks, and improving surveillance systems so that communities, ecosystems, and value chains can withstand and recover from disruptions.",
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"6.3.2 Creation of supportive regulatory framework: Promotes clear, predictable rules and supportive policies that foster investment, innovation, and responsible business conduct in agrifood sectors.",
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"6.4.1 Scope and effectiveness of Government budgetary support: Evaluates the allocation and effectiveness of public funds, ensuring they support sustainable, inclusive growth rather than distort markets or harm the environment., Examines public spending priorities, ensuring that investments meet development goals, promote equity, and enhance agrifood productivity and resilience.",
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"6.1.1 Rights of women, children, youth, indigenous groups and other vulnerable groups: Ensures that policies and actions respect, protect, and fulfill human rights, giving vulnerable populations equal opportunities and a voice in agrifood decisions.",
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"5.1. Exposure to shocks: Examines the vulnerabilities of agrifood systems to various shocks\u2014environmental, economic, conflict-related, health\u2014and how these risks affect food security and livelihoods.",
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"1.2. Diet quality: Focuses on the balance, diversity, and healthfulness of what people eat, aiming to prevent malnutrition and diet-related diseases.",
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"2.1. Primary Production: Concerned with sustainable increases in agricultural, livestock, fisheries, and forestry outputs, ensuring efficiency, productivity, and resource stewardship at the farm and natural resource base level.",
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"1.4. Food environments: Examines the conditions\u2014physical, economic, political, social, and cultural\u2014that influence the availability, affordability, and appeal of healthy foods.",
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"6.3.3 Awareness and use of the evidence-based / agrifood systems approach: Encourages long-term, integrated planning for agrifood systems, guided by robust data, stakeholder consensus, and strategic foresight."
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]
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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 sha256:5f839cf4fdde8eff477d7f56a42186948f5e236e0c5350b9b8685d7f810b8813
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size 437967672
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model_head.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:afd377a5331b81237746a93ceced7da0dc1488ca691233c93c4aac1ce49d7755
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size 330
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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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sentence_bert_config.json
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{
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"max_seq_length": 512,
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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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"0": {
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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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"special": true
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},
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"1": {
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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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"special": true
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},
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"2": {
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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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"special": true
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},
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"104": {
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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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"special": true
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},
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"30526": {
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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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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<s>",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"eos_token": "</s>",
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"extra_special_tokens": {},
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"mask_token": "<mask>",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "MPNetTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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