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MichalMlodawski-nsfw-text-detection-large-ONNX

ONNX
roberta
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Files changed (9) hide show
  1. config.json +37 -0
  2. merges.txt +0 -0
  3. onnx/decoder_model_merged.onnx +3 -0
  4. onnx/decoder_model_merged_quantized.onnx +3 -0
  5. quantize_config.json +38 -0
  6. special_tokens_map.json +51 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +57 -0
  9. vocab.json +0 -0
config.json ADDED
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+ {
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+ "_name_or_path": "MichalMlodawski/nsfw-text-detection-large",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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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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+ "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": "LABEL_0",
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "transformers_version": "4.35.2",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
merges.txt ADDED
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onnx/decoder_model_merged.onnx ADDED
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onnx/decoder_model_merged_quantized.onnx ADDED
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quantize_config.json ADDED
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+ {
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+ "per_channel": true,
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+ "model": {
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+ "op_types": [
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+ "Gemm",
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+ "CumSum",
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+ "Mul",
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+ "MatMul",
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+ "Add",
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+ "Cast",
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+ "Div",
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+ "weight_type": "QInt8"
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+ }
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special_tokens_map.json ADDED
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "bos_token": "<s>",
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+ "errors": "replace",
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+ "mask_token": "<mask>",
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+ "model_max_length": 512,
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+ "pad_token": "<pad>",
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+ "tokenizer_class": "RobertaTokenizer",
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+ "trim_offsets": true,
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+ "unk_token": "<unk>"
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+ }
vocab.json ADDED
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