Upload config.json with huggingface_hub
Browse files- config.json +55 -0
config.json
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{
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"_name_or_path": "onnx-ner-roberta-large-bahasa-indonesia-quantized",
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"_num_labels": 8,
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"architectures": [
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"XLMRobertaForTokenClassification"
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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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"classifier_dropout": null,
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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": 1024,
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"id2label": {
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"0": "B-PER",
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"1": "O",
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"2": "B-EMAIL",
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"3": "B-LOC",
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"4": "I-LOC",
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"5": "B-DATE_TIME",
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"6": "I-DATE_TIME",
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"7": "B-PHONE",
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"8": "B-GENDER",
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"9": "I-PER",
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"10": "B-SSN"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"B-DATE_TIME": 5,
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"B-EMAIL": 2,
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"B-GENDER": 8,
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"B-LOC": 3,
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"B-PER": 0,
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"B-PHONE": 7,
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"B-SSN": 10,
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"I-DATE_TIME": 6,
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"I-LOC": 4,
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"I-PER": 9,
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"O": 1
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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