Upload 12 files
Browse files- added_tokens.json +3 -0
- config.json +42 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +201 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +231 -0
- special_tokens_map.json +51 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
added_tokens.json
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{
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"[MASK]": 128000
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}
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config.json
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{
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"_name_or_path": "ProtectAI/deberta-v3-base-prompt-injection",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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": "SAFE",
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"1": "INJECTION"
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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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"INJECTION": 1,
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"SAFE": 0
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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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_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"transformers_version": "4.41.2",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:84a1582eb699d5240fbe2aef938bd0a946e6e715df99e9f0942f924f83b04446
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size 2464685
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openvino_detokenizer.xml
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_52311" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_52311">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_52291" type="Const" version="opset1">
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<data element_type="u8" shape="2464633" offset="0" size="2464633" />
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<output>
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<port id="0" precision="U8">
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<dim>2464633</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_52331" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceDetokenizer_52312" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>2464633</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="Constant_52314" type="Const" version="opset1">
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<data element_type="u8" shape="2" offset="2464633" size="2" />
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<output>
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<port id="0" precision="U8">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Constant_52316" type="Const" version="opset1">
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<data element_type="u8" shape="0" offset="2464635" size="1" />
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<output>
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<port id="0" precision="U8">
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<dim>0</dim>
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</port>
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</output>
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</layer>
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<layer id="6" name="RegexNormalization_52317" type="RegexNormalization" version="extension">
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<data global_replace="true" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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<port id="3" precision="U8">
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<dim>2</dim>
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</port>
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<port id="4" precision="U8">
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<dim>0</dim>
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</port>
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</input>
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<output>
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<port id="5" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="6" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="7" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="7" name="Constant_52319" type="Const" version="opset1">
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<data element_type="u8" shape="47" offset="2464636" size="47" />
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<output>
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<port id="0" precision="U8">
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<dim>47</dim>
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</port>
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</output>
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</layer>
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<layer id="8" name="Constant_52321" type="Const" version="opset1">
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<data element_type="u8" shape="2" offset="2464683" size="2" />
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<output>
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<port id="0" precision="U8">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="9" name="RegexNormalization_52322" type="RegexNormalization" version="extension">
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<data global_replace="true" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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<port id="3" precision="U8">
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<dim>47</dim>
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</port>
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<port id="4" precision="U8">
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<dim>2</dim>
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</port>
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</input>
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<output>
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<port id="5" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="6" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="7" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="10" name="StringTensorPack_52323" type="StringTensorPack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="STRING" names="string_output">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="11" name="Result_52324" type="Result" version="opset1">
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<input>
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<port id="0" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
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<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="6" to-port="0" />
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<edge from-layer="3" from-port="3" to-layer="6" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="6" to-port="2" />
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<edge from-layer="4" from-port="0" to-layer="6" to-port="3" />
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<edge from-layer="5" from-port="0" to-layer="6" to-port="4" />
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<edge from-layer="6" from-port="5" to-layer="9" to-port="0" />
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<edge from-layer="6" from-port="6" to-layer="9" to-port="1" />
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<edge from-layer="6" from-port="7" to-layer="9" to-port="2" />
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<edge from-layer="7" from-port="0" to-layer="9" to-port="3" />
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<edge from-layer="8" from-port="0" to-layer="9" to-port="4" />
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<edge from-layer="9" from-port="5" to-layer="10" to-port="0" />
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<edge from-layer="9" from-port="6" to-layer="10" to-port="1" />
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<edge from-layer="9" from-port="7" to-layer="10" to-port="2" />
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<edge from-layer="10" from-port="3" to-layer="11" to-port="0" />
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</edges>
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<rt_info>
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<eos_token_id value="2" />
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</rt_info>
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</net>
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openvino_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:a90a924ca708dd1f33de4c7fb20c1c5cc9c40f4090e13b158bf2fd6b1a8340af
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size 190007674
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openvino_model.xml
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The diff for this file is too large to render.
See raw diff
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openvino_tokenizer.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9538f6f384cbf1b1e38abbcae816439b2c2738f1028cc052bfdec44c76c890b
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size 2464639
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openvino_tokenizer.xml
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|
|
|
1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="tokenizer" version="11">
|
3 |
+
<layers>
|
4 |
+
<layer id="0" name="string_input" type="Parameter" version="opset1">
|
5 |
+
<data shape="?" element_type="string" />
|
6 |
+
<output>
|
7 |
+
<port id="0" precision="STRING" names="string_input">
|
8 |
+
<dim>-1</dim>
|
9 |
+
</port>
|
10 |
+
</output>
|
11 |
+
</layer>
|
12 |
+
<layer id="1" name="Constant_52297" type="Const" version="opset1">
|
13 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
14 |
+
<output>
|
15 |
+
<port id="0" precision="I32" />
|
16 |
+
</output>
|
17 |
+
</layer>
|
18 |
+
<layer id="2" name="Constant_52290" type="Const" version="opset1">
|
19 |
+
<data element_type="u8" shape="2464631" offset="4" size="2464631" />
|
20 |
+
<output>
|
21 |
+
<port id="0" precision="U8">
|
22 |
+
<dim>2464631</dim>
|
23 |
+
</port>
|
24 |
+
</output>
|
25 |
+
</layer>
|
26 |
+
<layer id="3" name="SentencepieceTokenizer_52293" type="SentencepieceTokenizer" version="extension">
|
27 |
+
<data nbest_size="0" alpha="0" add_bos="true" add_eos="true" reverse="false" />
|
28 |
+
<input>
|
29 |
+
<port id="0" precision="U8">
|
30 |
+
<dim>2464631</dim>
|
31 |
+
</port>
|
32 |
+
<port id="1" precision="STRING">
|
33 |
+
<dim>-1</dim>
|
34 |
+
</port>
|
35 |
+
</input>
|
36 |
+
<output>
|
37 |
+
<port id="2" precision="I64">
|
38 |
+
<dim>-1</dim>
|
39 |
+
<dim>2</dim>
|
40 |
+
</port>
|
41 |
+
<port id="3" precision="I32">
|
42 |
+
<dim>-1</dim>
|
43 |
+
</port>
|
44 |
+
<port id="4" precision="I64">
|
45 |
+
<dim>2</dim>
|
46 |
+
</port>
|
47 |
+
</output>
|
48 |
+
</layer>
|
49 |
+
<layer id="4" name="Broadcast_52298" type="Broadcast" version="opset3">
|
50 |
+
<data mode="numpy" />
|
51 |
+
<input>
|
52 |
+
<port id="0" precision="I32" />
|
53 |
+
<port id="1" precision="I64">
|
54 |
+
<dim>2</dim>
|
55 |
+
</port>
|
56 |
+
</input>
|
57 |
+
<output>
|
58 |
+
<port id="2" precision="I32">
|
59 |
+
<dim>-1</dim>
|
60 |
+
<dim>-1</dim>
|
61 |
+
</port>
|
62 |
+
</output>
|
63 |
+
</layer>
|
64 |
+
<layer id="5" name="Constant_52299" type="Const" version="opset1">
|
65 |
+
<data element_type="i32" shape="" offset="2464635" size="4" />
|
66 |
+
<output>
|
67 |
+
<port id="0" precision="I32" />
|
68 |
+
</output>
|
69 |
+
</layer>
|
70 |
+
<layer id="6" name="ShapeOf_52300" type="ShapeOf" version="opset3">
|
71 |
+
<data output_type="i64" />
|
72 |
+
<input>
|
73 |
+
<port id="0" precision="I32">
|
74 |
+
<dim>-1</dim>
|
75 |
+
</port>
|
76 |
+
</input>
|
77 |
+
<output>
|
78 |
+
<port id="1" precision="I64">
|
79 |
+
<dim>1</dim>
|
80 |
+
</port>
|
81 |
+
</output>
|
82 |
+
</layer>
|
83 |
+
<layer id="7" name="Broadcast_52301" type="Broadcast" version="opset3">
|
84 |
+
<data mode="numpy" />
|
85 |
+
<input>
|
86 |
+
<port id="0" precision="I32" />
|
87 |
+
<port id="1" precision="I64">
|
88 |
+
<dim>1</dim>
|
89 |
+
</port>
|
90 |
+
</input>
|
91 |
+
<output>
|
92 |
+
<port id="2" precision="I32">
|
93 |
+
<dim>-1</dim>
|
94 |
+
</port>
|
95 |
+
</output>
|
96 |
+
</layer>
|
97 |
+
<layer id="8" name="ScatterNDUpdate_52305" type="ScatterNDUpdate" version="opset4">
|
98 |
+
<input>
|
99 |
+
<port id="0" precision="I32">
|
100 |
+
<dim>-1</dim>
|
101 |
+
<dim>-1</dim>
|
102 |
+
</port>
|
103 |
+
<port id="1" precision="I64">
|
104 |
+
<dim>-1</dim>
|
105 |
+
<dim>2</dim>
|
106 |
+
</port>
|
107 |
+
<port id="2" precision="I32">
|
108 |
+
<dim>-1</dim>
|
109 |
+
</port>
|
110 |
+
</input>
|
111 |
+
<output>
|
112 |
+
<port id="3" precision="I32">
|
113 |
+
<dim>-1</dim>
|
114 |
+
<dim>-1</dim>
|
115 |
+
</port>
|
116 |
+
</output>
|
117 |
+
</layer>
|
118 |
+
<layer id="9" name="ScatterNDUpdate_52305" type="Convert" version="opset1">
|
119 |
+
<data destination_type="i64" />
|
120 |
+
<input>
|
121 |
+
<port id="0" precision="I32">
|
122 |
+
<dim>-1</dim>
|
123 |
+
<dim>-1</dim>
|
124 |
+
</port>
|
125 |
+
</input>
|
126 |
+
<output>
|
127 |
+
<port id="1" precision="I64" names="attention_mask">
|
128 |
+
<dim>-1</dim>
|
129 |
+
<dim>-1</dim>
|
130 |
+
</port>
|
131 |
+
</output>
|
132 |
+
</layer>
|
133 |
+
<layer id="11" name="Constant_52294" type="Const" version="opset1">
|
134 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
135 |
+
<output>
|
136 |
+
<port id="0" precision="I32" />
|
137 |
+
</output>
|
138 |
+
</layer>
|
139 |
+
<layer id="12" name="Broadcast_52295" type="Broadcast" version="opset3">
|
140 |
+
<data mode="numpy" />
|
141 |
+
<input>
|
142 |
+
<port id="0" precision="I32" />
|
143 |
+
<port id="1" precision="I64">
|
144 |
+
<dim>2</dim>
|
145 |
+
</port>
|
146 |
+
</input>
|
147 |
+
<output>
|
148 |
+
<port id="2" precision="I32">
|
149 |
+
<dim>-1</dim>
|
150 |
+
<dim>-1</dim>
|
151 |
+
</port>
|
152 |
+
</output>
|
153 |
+
</layer>
|
154 |
+
<layer id="13" name="ScatterNDUpdate_52296" type="ScatterNDUpdate" version="opset4">
|
155 |
+
<input>
|
156 |
+
<port id="0" precision="I32">
|
157 |
+
<dim>-1</dim>
|
158 |
+
<dim>-1</dim>
|
159 |
+
</port>
|
160 |
+
<port id="1" precision="I64">
|
161 |
+
<dim>-1</dim>
|
162 |
+
<dim>2</dim>
|
163 |
+
</port>
|
164 |
+
<port id="2" precision="I32">
|
165 |
+
<dim>-1</dim>
|
166 |
+
</port>
|
167 |
+
</input>
|
168 |
+
<output>
|
169 |
+
<port id="3" precision="I32">
|
170 |
+
<dim>-1</dim>
|
171 |
+
<dim>-1</dim>
|
172 |
+
</port>
|
173 |
+
</output>
|
174 |
+
</layer>
|
175 |
+
<layer id="14" name="ScatterNDUpdate_52296" type="Convert" version="opset1">
|
176 |
+
<data destination_type="i64" />
|
177 |
+
<input>
|
178 |
+
<port id="0" precision="I32">
|
179 |
+
<dim>-1</dim>
|
180 |
+
<dim>-1</dim>
|
181 |
+
</port>
|
182 |
+
</input>
|
183 |
+
<output>
|
184 |
+
<port id="1" precision="I64" names="input_ids">
|
185 |
+
<dim>-1</dim>
|
186 |
+
<dim>-1</dim>
|
187 |
+
</port>
|
188 |
+
</output>
|
189 |
+
</layer>
|
190 |
+
<layer id="15" name="Result_52306" type="Result" version="opset1">
|
191 |
+
<input>
|
192 |
+
<port id="0" precision="I64">
|
193 |
+
<dim>-1</dim>
|
194 |
+
<dim>-1</dim>
|
195 |
+
</port>
|
196 |
+
</input>
|
197 |
+
</layer>
|
198 |
+
<layer id="10" name="Result_52307" type="Result" version="opset1">
|
199 |
+
<input>
|
200 |
+
<port id="0" precision="I64">
|
201 |
+
<dim>-1</dim>
|
202 |
+
<dim>-1</dim>
|
203 |
+
</port>
|
204 |
+
</input>
|
205 |
+
</layer>
|
206 |
+
</layers>
|
207 |
+
<edges>
|
208 |
+
<edge from-layer="0" from-port="0" to-layer="3" to-port="1" />
|
209 |
+
<edge from-layer="1" from-port="0" to-layer="4" to-port="0" />
|
210 |
+
<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
211 |
+
<edge from-layer="3" from-port="4" to-layer="4" to-port="1" />
|
212 |
+
<edge from-layer="3" from-port="3" to-layer="6" to-port="0" />
|
213 |
+
<edge from-layer="3" from-port="2" to-layer="8" to-port="1" />
|
214 |
+
<edge from-layer="3" from-port="4" to-layer="12" to-port="1" />
|
215 |
+
<edge from-layer="3" from-port="2" to-layer="13" to-port="1" />
|
216 |
+
<edge from-layer="3" from-port="3" to-layer="13" to-port="2" />
|
217 |
+
<edge from-layer="4" from-port="2" to-layer="8" to-port="0" />
|
218 |
+
<edge from-layer="5" from-port="0" to-layer="7" to-port="0" />
|
219 |
+
<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
|
220 |
+
<edge from-layer="7" from-port="2" to-layer="8" to-port="2" />
|
221 |
+
<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
|
222 |
+
<edge from-layer="9" from-port="1" to-layer="10" to-port="0" />
|
223 |
+
<edge from-layer="11" from-port="0" to-layer="12" to-port="0" />
|
224 |
+
<edge from-layer="12" from-port="2" to-layer="13" to-port="0" />
|
225 |
+
<edge from-layer="13" from-port="3" to-layer="14" to-port="0" />
|
226 |
+
<edge from-layer="14" from-port="1" to-layer="15" to-port="0" />
|
227 |
+
</edges>
|
228 |
+
<rt_info>
|
229 |
+
<eos_token_id value="2" />
|
230 |
+
</rt_info>
|
231 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "[CLS]",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"cls_token": {
|
10 |
+
"content": "[CLS]",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"eos_token": {
|
17 |
+
"content": "[SEP]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"mask_token": {
|
24 |
+
"content": "[MASK]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"pad_token": {
|
31 |
+
"content": "[PAD]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
},
|
37 |
+
"sep_token": {
|
38 |
+
"content": "[SEP]",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false
|
43 |
+
},
|
44 |
+
"unk_token": {
|
45 |
+
"content": "[UNK]",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": true,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false
|
50 |
+
}
|
51 |
+
}
|
spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": true,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128000": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "[CLS]",
|
47 |
+
"do_lower_case": false,
|
48 |
+
"eos_token": "[SEP]",
|
49 |
+
"mask_token": "[MASK]",
|
50 |
+
"model_max_length": 1000000000000000019884624838656,
|
51 |
+
"pad_token": "[PAD]",
|
52 |
+
"sep_token": "[SEP]",
|
53 |
+
"sp_model_kwargs": {},
|
54 |
+
"split_by_punct": false,
|
55 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
56 |
+
"unk_token": "[UNK]",
|
57 |
+
"vocab_type": "spm"
|
58 |
+
}
|