Text Classification
Transformers
PyTorch
ONNX
Safetensors
Arabic
bert
hate-speech
gender-based-violence
arabic
multiclass-classification
pilot
Eval Results (legacy)
text-embeddings-inference
Instructions to use thejosango/nuha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thejosango/nuha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thejosango/nuha")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thejosango/nuha") model = AutoModelForSequenceClassification.from_pretrained("thejosango/nuha") - Notebooks
- Google Colab
- Kaggle
fix: move config and tokenizer files out of LFS
Browse filesThese small JSON/text files were incorrectly tracked by LFS,
preventing HuggingFace from parsing model configuration.
- .gitattributes +0 -5
- config.json +37 -3
- special_tokens_map.json +7 -3
- tokenizer.json +0 -0
- tokenizer_config.json +28 -3
- vocab.txt +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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vocab.txt filter=lfs diff=lfs merge=lfs -text
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config.json filter=lfs diff=lfs merge=lfs -text
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model.onnx filter=lfs diff=lfs merge=lfs -text
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special_tokens_map.json filter=lfs diff=lfs merge=lfs -text
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tokenizer_config.json filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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model.onnx filter=lfs diff=lfs merge=lfs -text
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config.json
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{
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"_name_or_path": "thejosango/nuha-mlm",
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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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"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": "Not Online Violence",
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"1": "Offensive Language",
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"2": "Gender Based Violence"
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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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"Gender Based Violence": 2,
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"Not Online Violence": 0,
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"Offensive Language": 1
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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": 4,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.32.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 64000
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}
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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": false,
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"mask_token": "[MASK]",
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"max_len": 512,
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"max_length": 512,
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"model_max_length": 512,
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"never_split": [
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"[بريد]",
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"[مستخدم]",
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"[رابط]"
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],
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "[SEP]",
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"stride": 0,
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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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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]",
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"use_fast": true
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}
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vocab.txt
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