Upload folder using huggingface_hub
Browse files- config.json +34 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +817 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- vocab.txt +0 -0
config.json
ADDED
@@ -0,0 +1,34 @@
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{
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"_name_or_path": "jinaai/jina-embeddings-v2-small-en",
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"architectures": [
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"JinaBertForMaskedLM"
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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": "jinaai/jina-bert-implementation--configuration_bert.JinaBertConfig",
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"AutoModel": "jinaai/jina-bert-implementation--modeling_bert.JinaBertModel",
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"AutoModelForMaskedLM": "jinaai/jina-bert-implementation--modeling_bert.JinaBertForMaskedLM",
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"AutoModelForSequenceClassification": "jinaai/jina-bert-implementation--modeling_bert.JinaBertForSequenceClassification"
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},
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"classifier_dropout": null,
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"emb_pooler": "mean",
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"feed_forward_type": "geglu",
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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": 512,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 8192,
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"model_max_length": 8192,
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"model_type": "bert",
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"num_attention_heads": 8,
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"num_hidden_layers": 4,
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"pad_token_id": 0,
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"position_embedding_type": "alibi",
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"transformers_version": "4.41.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30528
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}
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openvino_model.bin
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:aafa9ad6ac1751b4dc3c32cf1a5fe2344e8a7d9bc021f53795c16961c60edcd3
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size 112910460
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openvino_model.xml
ADDED
The diff for this file is too large to render.
See raw diff
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openvino_tokenizer.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:25d39ec7876c6d1a27269d0c81f1623d249d12a77811f2536ef62b081d5eafa7
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size 323449
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openvino_tokenizer.xml
ADDED
@@ -0,0 +1,817 @@
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<?xml version="1.0"?>
|
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<net name="tokenizer" version="11">
|
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<layers>
|
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<layer id="0" name="Parameter_4178" type="Parameter" version="opset1">
|
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<data shape="?" element_type="string" />
|
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<output>
|
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<port id="0" precision="STRING" names="Parameter_4178">
|
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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_4276" type="Const" version="opset1">
|
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<data element_type="i32" shape="" offset="0" size="4" />
|
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<output>
|
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<port id="0" precision="I32" />
|
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</output>
|
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</layer>
|
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<layer id="2" name="Constant_4277" type="Const" version="opset1">
|
19 |
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<data element_type="i32" shape="" offset="4" size="4" />
|
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<output>
|
21 |
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<port id="0" precision="I32" />
|
22 |
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</output>
|
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</layer>
|
24 |
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<layer id="3" name="Constant_4278" type="Const" version="opset1">
|
25 |
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<data element_type="i32" shape="1" offset="8" size="4" />
|
26 |
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<output>
|
27 |
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<port id="0" precision="I32">
|
28 |
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<dim>1</dim>
|
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</port>
|
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</output>
|
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</layer>
|
32 |
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<layer id="4" name="Constant_4191" type="Const" version="opset1">
|
33 |
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<data element_type="i64" shape="" offset="12" size="8" />
|
34 |
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<output>
|
35 |
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<port id="0" precision="I64" />
|
36 |
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</output>
|
37 |
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</layer>
|
38 |
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<layer id="5" name="StringTensorUnpack_4179" type="StringTensorUnpack" version="extension">
|
39 |
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<data mode="begins_ends" />
|
40 |
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<input>
|
41 |
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<port id="0" precision="STRING">
|
42 |
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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">
|
47 |
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<dim>-1</dim>
|
48 |
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</port>
|
49 |
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<port id="2" precision="I32">
|
50 |
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<dim>-1</dim>
|
51 |
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</port>
|
52 |
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<port id="3" precision="U8">
|
53 |
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<dim>-1</dim>
|
54 |
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</port>
|
55 |
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</output>
|
56 |
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</layer>
|
57 |
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<layer id="6" name="NormalizeUnicode_4180" type="NormalizeUnicode" version="extension">
|
58 |
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<data normalization_form="NFD" />
|
59 |
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<input>
|
60 |
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<port id="0" precision="I32">
|
61 |
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<dim>-1</dim>
|
62 |
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</port>
|
63 |
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<port id="1" precision="I32">
|
64 |
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<dim>-1</dim>
|
65 |
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</port>
|
66 |
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<port id="2" precision="U8">
|
67 |
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<dim>-1</dim>
|
68 |
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</port>
|
69 |
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</input>
|
70 |
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<output>
|
71 |
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<port id="3" precision="I32">
|
72 |
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<dim>-1</dim>
|
73 |
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</port>
|
74 |
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<port id="4" precision="I32">
|
75 |
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<dim>-1</dim>
|
76 |
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</port>
|
77 |
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<port id="5" precision="U8">
|
78 |
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<dim>-1</dim>
|
79 |
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</port>
|
80 |
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</output>
|
81 |
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</layer>
|
82 |
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<layer id="7" name="Constant_4182" type="Const" version="opset1">
|
83 |
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<data element_type="u8" shape="6" offset="20" size="6" />
|
84 |
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<output>
|
85 |
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494 |
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495 |
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496 |
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<output>
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497 |
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498 |
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<dim>3</dim>
|
499 |
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</port>
|
500 |
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</output>
|
501 |
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</layer>
|
502 |
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|
503 |
+
<input>
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504 |
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505 |
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506 |
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507 |
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<dim>1</dim>
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508 |
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</port>
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509 |
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|
510 |
+
<dim>-1</dim>
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511 |
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</port>
|
512 |
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<port id="4" precision="I32">
|
513 |
+
<dim>-1</dim>
|
514 |
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</port>
|
515 |
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<port id="5" precision="I32">
|
516 |
+
<dim>-1</dim>
|
517 |
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</port>
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518 |
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|
519 |
+
<port id="7" precision="I32" />
|
520 |
+
<port id="8" precision="I32">
|
521 |
+
<dim>1</dim>
|
522 |
+
</port>
|
523 |
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<port id="9" precision="I32">
|
524 |
+
<dim>3</dim>
|
525 |
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</port>
|
526 |
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</input>
|
527 |
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<output>
|
528 |
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|
529 |
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<dim>-1</dim>
|
530 |
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</port>
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531 |
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<port id="11" precision="I32">
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532 |
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<dim>-1</dim>
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533 |
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534 |
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<port id="12" precision="I32">
|
535 |
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<dim>-1</dim>
|
536 |
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</port>
|
537 |
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<port id="13" precision="I32">
|
538 |
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<dim>-1</dim>
|
539 |
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</port>
|
540 |
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<port id="14" precision="I32">
|
541 |
+
<dim>-1</dim>
|
542 |
+
</port>
|
543 |
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<port id="15" precision="I32">
|
544 |
+
<dim>-1</dim>
|
545 |
+
</port>
|
546 |
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</output>
|
547 |
+
</layer>
|
548 |
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<layer id="39" name="Subtract_4284" type="Subtract" version="opset1">
|
549 |
+
<data auto_broadcast="numpy" />
|
550 |
+
<input>
|
551 |
+
<port id="0" precision="I32">
|
552 |
+
<dim>-1</dim>
|
553 |
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</port>
|
554 |
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<port id="1" precision="I32">
|
555 |
+
<dim>-1</dim>
|
556 |
+
</port>
|
557 |
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</input>
|
558 |
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<output>
|
559 |
+
<port id="2" precision="I32">
|
560 |
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<dim>-1</dim>
|
561 |
+
</port>
|
562 |
+
</output>
|
563 |
+
</layer>
|
564 |
+
<layer id="40" name="Constant_4285" type="Const" version="opset1">
|
565 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
566 |
+
<output>
|
567 |
+
<port id="0" precision="I32" />
|
568 |
+
</output>
|
569 |
+
</layer>
|
570 |
+
<layer id="41" name="ReduceMax_4286" type="ReduceMax" version="opset1">
|
571 |
+
<data keep_dims="false" />
|
572 |
+
<input>
|
573 |
+
<port id="0" precision="I32">
|
574 |
+
<dim>-1</dim>
|
575 |
+
</port>
|
576 |
+
<port id="1" precision="I32" />
|
577 |
+
</input>
|
578 |
+
<output>
|
579 |
+
<port id="2" precision="I32" />
|
580 |
+
</output>
|
581 |
+
</layer>
|
582 |
+
<layer id="42" name="Constant_4287" type="Const" version="opset1">
|
583 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
584 |
+
<output>
|
585 |
+
<port id="0" precision="I32" />
|
586 |
+
</output>
|
587 |
+
</layer>
|
588 |
+
<layer id="43" name="RaggedToDense_4288" type="RaggedToDense" version="extension">
|
589 |
+
<data pad_right="true" />
|
590 |
+
<input>
|
591 |
+
<port id="0" precision="I32">
|
592 |
+
<dim>-1</dim>
|
593 |
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</port>
|
594 |
+
<port id="1" precision="I32">
|
595 |
+
<dim>-1</dim>
|
596 |
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</port>
|
597 |
+
<port id="2" precision="I32">
|
598 |
+
<dim>-1</dim>
|
599 |
+
</port>
|
600 |
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<port id="3" precision="I32" />
|
601 |
+
<port id="4" precision="I32" />
|
602 |
+
</input>
|
603 |
+
<output>
|
604 |
+
<port id="5" precision="I32">
|
605 |
+
<dim>-1</dim>
|
606 |
+
<dim>-1</dim>
|
607 |
+
</port>
|
608 |
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<port id="6" precision="BOOL">
|
609 |
+
<dim>-1</dim>
|
610 |
+
<dim>-1</dim>
|
611 |
+
</port>
|
612 |
+
</output>
|
613 |
+
</layer>
|
614 |
+
<layer id="44" name="Convert_4289" type="Convert" version="opset1">
|
615 |
+
<data destination_type="i32" />
|
616 |
+
<input>
|
617 |
+
<port id="0" precision="BOOL">
|
618 |
+
<dim>-1</dim>
|
619 |
+
<dim>-1</dim>
|
620 |
+
</port>
|
621 |
+
</input>
|
622 |
+
<output>
|
623 |
+
<port id="1" precision="I32">
|
624 |
+
<dim>-1</dim>
|
625 |
+
<dim>-1</dim>
|
626 |
+
</port>
|
627 |
+
</output>
|
628 |
+
</layer>
|
629 |
+
<layer id="45" name="Convert_4289" type="Convert" version="opset1">
|
630 |
+
<data destination_type="i64" />
|
631 |
+
<input>
|
632 |
+
<port id="0" precision="I32">
|
633 |
+
<dim>-1</dim>
|
634 |
+
<dim>-1</dim>
|
635 |
+
</port>
|
636 |
+
</input>
|
637 |
+
<output>
|
638 |
+
<port id="1" precision="I64" names="attention_mask">
|
639 |
+
<dim>-1</dim>
|
640 |
+
<dim>-1</dim>
|
641 |
+
</port>
|
642 |
+
</output>
|
643 |
+
</layer>
|
644 |
+
<layer id="47" name="Constant_4290" type="Const" version="opset1">
|
645 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
646 |
+
<output>
|
647 |
+
<port id="0" precision="I32" />
|
648 |
+
</output>
|
649 |
+
</layer>
|
650 |
+
<layer id="48" name="RaggedToDense_4291" type="RaggedToDense" version="extension">
|
651 |
+
<data pad_right="true" />
|
652 |
+
<input>
|
653 |
+
<port id="0" precision="I32">
|
654 |
+
<dim>-1</dim>
|
655 |
+
</port>
|
656 |
+
<port id="1" precision="I32">
|
657 |
+
<dim>-1</dim>
|
658 |
+
</port>
|
659 |
+
<port id="2" precision="I32">
|
660 |
+
<dim>-1</dim>
|
661 |
+
</port>
|
662 |
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<port id="3" precision="I32" />
|
663 |
+
<port id="4" precision="I32" />
|
664 |
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</input>
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665 |
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<output>
|
666 |
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<port id="5" precision="I32">
|
667 |
+
<dim>-1</dim>
|
668 |
+
<dim>-1</dim>
|
669 |
+
</port>
|
670 |
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<port id="6" precision="BOOL">
|
671 |
+
<dim>-1</dim>
|
672 |
+
<dim>-1</dim>
|
673 |
+
</port>
|
674 |
+
</output>
|
675 |
+
</layer>
|
676 |
+
<layer id="49" name="RaggedToDense_4291.0" type="Convert" version="opset1">
|
677 |
+
<data destination_type="i64" />
|
678 |
+
<input>
|
679 |
+
<port id="0" precision="I32">
|
680 |
+
<dim>-1</dim>
|
681 |
+
<dim>-1</dim>
|
682 |
+
</port>
|
683 |
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</input>
|
684 |
+
<output>
|
685 |
+
<port id="1" precision="I64" names="token_type_ids">
|
686 |
+
<dim>-1</dim>
|
687 |
+
<dim>-1</dim>
|
688 |
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</port>
|
689 |
+
</output>
|
690 |
+
</layer>
|
691 |
+
<layer id="51" name="RaggedToDense_4288.0" type="Convert" version="opset1">
|
692 |
+
<data destination_type="i64" />
|
693 |
+
<input>
|
694 |
+
<port id="0" precision="I32">
|
695 |
+
<dim>-1</dim>
|
696 |
+
<dim>-1</dim>
|
697 |
+
</port>
|
698 |
+
</input>
|
699 |
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<output>
|
700 |
+
<port id="1" precision="I64" names="input_ids">
|
701 |
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<dim>-1</dim>
|
702 |
+
<dim>-1</dim>
|
703 |
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</port>
|
704 |
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</output>
|
705 |
+
</layer>
|
706 |
+
<layer id="52" name="Result_4292" type="Result" version="opset1">
|
707 |
+
<input>
|
708 |
+
<port id="0" precision="I64">
|
709 |
+
<dim>-1</dim>
|
710 |
+
<dim>-1</dim>
|
711 |
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</port>
|
712 |
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</input>
|
713 |
+
</layer>
|
714 |
+
<layer id="50" name="Result_4293" type="Result" version="opset1">
|
715 |
+
<input>
|
716 |
+
<port id="0" precision="I64">
|
717 |
+
<dim>-1</dim>
|
718 |
+
<dim>-1</dim>
|
719 |
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</port>
|
720 |
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</input>
|
721 |
+
</layer>
|
722 |
+
<layer id="46" name="Result_4294" type="Result" version="opset1">
|
723 |
+
<input>
|
724 |
+
<port id="0" precision="I64">
|
725 |
+
<dim>-1</dim>
|
726 |
+
<dim>-1</dim>
|
727 |
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</port>
|
728 |
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</input>
|
729 |
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</layer>
|
730 |
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731 |
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732 |
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733 |
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734 |
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735 |
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736 |
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737 |
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738 |
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739 |
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740 |
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741 |
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742 |
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743 |
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744 |
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745 |
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746 |
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747 |
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748 |
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749 |
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750 |
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751 |
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752 |
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753 |
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754 |
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755 |
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756 |
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757 |
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758 |
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759 |
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760 |
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761 |
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762 |
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<edge from-layer="20" from-port="0" to-layer="21" to-port="2" />
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763 |
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<edge from-layer="21" from-port="3" to-layer="23" to-port="1" />
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764 |
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<edge from-layer="22" from-port="0" to-layer="23" to-port="5" />
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765 |
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<edge from-layer="23" from-port="7" to-layer="25" to-port="1" />
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766 |
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767 |
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<edge from-layer="23" from-port="9" to-layer="25" to-port="3" />
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768 |
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<edge from-layer="23" from-port="10" to-layer="25" to-port="4" />
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769 |
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<edge from-layer="23" from-port="6" to-layer="25" to-port="0" />
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770 |
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<edge from-layer="24" from-port="0" to-layer="25" to-port="5" />
|
771 |
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<edge from-layer="25" from-port="10" to-layer="29" to-port="4" />
|
772 |
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<edge from-layer="25" from-port="8" to-layer="29" to-port="2" />
|
773 |
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<edge from-layer="25" from-port="9" to-layer="29" to-port="3" />
|
774 |
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<edge from-layer="25" from-port="6" to-layer="29" to-port="0" />
|
775 |
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<edge from-layer="25" from-port="7" to-layer="29" to-port="1" />
|
776 |
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<edge from-layer="26" from-port="0" to-layer="27" to-port="0" />
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777 |
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778 |
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779 |
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780 |
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781 |
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782 |
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<edge from-layer="29" from-port="9" to-layer="30" to-port="1" />
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783 |
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<edge from-layer="29" from-port="10" to-layer="30" to-port="0" />
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784 |
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<edge from-layer="29" from-port="9" to-layer="38" to-port="3" />
|
785 |
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<edge from-layer="29" from-port="11" to-layer="38" to-port="5" />
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786 |
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787 |
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|
788 |
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<edge from-layer="32" from-port="2" to-layer="33" to-port="1" />
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789 |
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<edge from-layer="33" from-port="2" to-layer="38" to-port="4" />
|
790 |
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<edge from-layer="34" from-port="0" to-layer="38" to-port="6" />
|
791 |
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<edge from-layer="35" from-port="0" to-layer="38" to-port="7" />
|
792 |
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<edge from-layer="36" from-port="0" to-layer="38" to-port="8" />
|
793 |
+
<edge from-layer="37" from-port="0" to-layer="38" to-port="9" />
|
794 |
+
<edge from-layer="38" from-port="10" to-layer="39" to-port="1" />
|
795 |
+
<edge from-layer="38" from-port="10" to-layer="43" to-port="0" />
|
796 |
+
<edge from-layer="38" from-port="11" to-layer="43" to-port="1" />
|
797 |
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<edge from-layer="38" from-port="12" to-layer="43" to-port="2" />
|
798 |
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<edge from-layer="38" from-port="11" to-layer="39" to-port="0" />
|
799 |
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<edge from-layer="38" from-port="13" to-layer="48" to-port="0" />
|
800 |
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<edge from-layer="38" from-port="14" to-layer="48" to-port="1" />
|
801 |
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<edge from-layer="38" from-port="15" to-layer="48" to-port="2" />
|
802 |
+
<edge from-layer="39" from-port="2" to-layer="41" to-port="0" />
|
803 |
+
<edge from-layer="40" from-port="0" to-layer="41" to-port="1" />
|
804 |
+
<edge from-layer="41" from-port="2" to-layer="43" to-port="3" />
|
805 |
+
<edge from-layer="41" from-port="2" to-layer="48" to-port="3" />
|
806 |
+
<edge from-layer="42" from-port="0" to-layer="43" to-port="4" />
|
807 |
+
<edge from-layer="43" from-port="6" to-layer="44" to-port="0" />
|
808 |
+
<edge from-layer="43" from-port="5" to-layer="51" to-port="0" />
|
809 |
+
<edge from-layer="44" from-port="1" to-layer="45" to-port="0" />
|
810 |
+
<edge from-layer="45" from-port="1" to-layer="46" to-port="0" />
|
811 |
+
<edge from-layer="47" from-port="0" to-layer="48" to-port="4" />
|
812 |
+
<edge from-layer="48" from-port="5" to-layer="49" to-port="0" />
|
813 |
+
<edge from-layer="49" from-port="1" to-layer="50" to-port="0" />
|
814 |
+
<edge from-layer="51" from-port="1" to-layer="52" to-port="0" />
|
815 |
+
</edges>
|
816 |
+
<rt_info />
|
817 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
+
{
|
2 |
+
"cls_token": {
|
3 |
+
"content": "[CLS]",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"mask_token": {
|
10 |
+
"content": "[MASK]",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "[PAD]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"sep_token": {
|
24 |
+
"content": "[SEP]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"unk_token": {
|
31 |
+
"content": "[UNK]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
}
|
37 |
+
}
|
tokenizer.json
ADDED
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|
tokenizer_config.json
ADDED
@@ -0,0 +1,57 @@
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|
|
|
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 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": true,
|
48 |
+
"mask_token": "[MASK]",
|
49 |
+
"model_max_length": 2147483648,
|
50 |
+
"never_split": null,
|
51 |
+
"pad_token": "[PAD]",
|
52 |
+
"sep_token": "[SEP]",
|
53 |
+
"strip_accents": null,
|
54 |
+
"tokenize_chinese_chars": true,
|
55 |
+
"tokenizer_class": "BertTokenizer",
|
56 |
+
"unk_token": "[UNK]"
|
57 |
+
}
|
vocab.txt
ADDED
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|
|