Instructions to use SMG0/Model3_Marabertv2_T2_WOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SMG0/Model3_Marabertv2_T2_WOS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SMG0/Model3_Marabertv2_T2_WOS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SMG0/Model3_Marabertv2_T2_WOS") model = AutoModelForSequenceClassification.from_pretrained("SMG0/Model3_Marabertv2_T2_WOS") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +71 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "UBC-NLP/MARBERTv2",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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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": "RH:ISLAM",
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"1": "RH:Judaism",
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"2": "RH:Christianity",
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"3": "UD_RH",
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"4": "EH:ARAB",
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"5": "EH:African",
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"6": "UD_EH",
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"7": "NH:Iranian",
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"8": "NH:Israeli",
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"9": "NH:Saudi",
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"10": "NH:Turkish",
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"11": "NH:Qatari",
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"12": "NH:American",
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"13": "UD_NH",
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"14": "GH:Females",
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"15": "GH:Males",
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"16": "UD_GH"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"EH:ARAB": 4,
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"EH:African": 5,
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"GH:Females": 14,
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"GH:Males": 15,
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"NH:American": 12,
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"NH:Iranian": 7,
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"NH:Israeli": 8,
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"NH:Qatari": 11,
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"NH:Saudi": 9,
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"NH:Turkish": 10,
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"RH:Christianity": 2,
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"RH:ISLAM": 0,
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"RH:Judaism": 1,
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"UD_EH": 6,
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"UD_GH": 16,
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"UD_NH": 13,
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"UD_RH": 3
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.31.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 100000
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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:cdb691a89d3d3587d594f6c5aac045dfb9cfe3403ec4a2383dfe05e14edb313b
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size 651486065
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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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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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6be3e4f98eb96bebe181afd13364ce8ba70db888f25427c10f885613e6ee4ce7
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size 3963
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vocab.txt
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