dsam99 commited on
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adding safety classifier

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - text-classification
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+ - safety-scoring
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+ ---
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+
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+ # Safety Classification
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+
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+ This is a fine-tuned version of `gte-large-en-v1.5` for safety scoring.
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+
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+ ## Usage
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+
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+ ```python
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+ from transformers import AutoModel, AutoTokenizer
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+
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+ model = AutoModel.from_pretrained("locuslab/safety-classifier_gte-large-en-v1.5")
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+ tokenizer = AutoTokenizer.from_pretrained("locuslab/safety-classifier_gte-large-en-v1.5")
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+ ```
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+
config.json ADDED
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+ {
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+ "_name_or_path": "Alibaba-NLP/gte-large-en-v1.5",
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+ "architectures": [
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+ "NewForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "auto_map": {
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+ "AutoConfig": "Alibaba-NLP/new-impl--configuration.NewConfig",
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+ "AutoModel": "Alibaba-NLP/new-impl--modeling.NewModel",
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+ "AutoModelForMaskedLM": "Alibaba-NLP/new-impl--modeling.NewForMaskedLM",
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+ "AutoModelForMultipleChoice": "Alibaba-NLP/new-impl--modeling.NewForMultipleChoice",
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+ "AutoModelForQuestionAnswering": "Alibaba-NLP/new-impl--modeling.NewForQuestionAnswering",
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+ "AutoModelForSequenceClassification": "Alibaba-NLP/new-impl--modeling.NewForSequenceClassification",
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+ "AutoModelForTokenClassification": "Alibaba-NLP/new-impl--modeling.NewForTokenClassification"
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+ },
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+ "classifier_dropout": null,
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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": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ "4": "LABEL_4",
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+ "5": "LABEL_5"
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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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+ "LABEL_1": 1,
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+ "LABEL_2": 2,
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+ "LABEL_3": 3,
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+ "LABEL_4": 4,
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "layer_norm_type": "layer_norm",
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+ "logn_attention_clip1": false,
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+ "logn_attention_scale": false,
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+ "max_position_embeddings": 8192,
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+ "model_type": "new",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "pack_qkv": true,
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+ "position_embedding_type": "rope",
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+ "problem_type": "single_label_classification",
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+ "rope_scaling": {
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+ "factor": 2.0,
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+ "type": "ntk"
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+ },
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+ "rope_theta": 160000,
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+ "transformers_version": "4.46.1",
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+ "type_vocab_size": 2,
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+ "unpad_inputs": false,
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+ "use_memory_efficient_attention": false,
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+ "vocab_size": 30528
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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vocab.txt ADDED
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