Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- config.json +29 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +153 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +235 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +55 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
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config.json
ADDED
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@@ -0,0 +1,29 @@
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{
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| 2 |
+
"_name_or_path": "/home/sdp/models/models--BAAI--bge-m3/snapshots/5617a9f61b028005a4858fdac845db406aefb181",
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| 3 |
+
"architectures": [
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| 4 |
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"XLMRobertaModel"
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| 5 |
+
],
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| 6 |
+
"attention_probs_dropout_prob": 0.1,
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| 7 |
+
"bos_token_id": 0,
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| 8 |
+
"classifier_dropout": null,
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| 9 |
+
"eos_token_id": 2,
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| 10 |
+
"export_model_type": "transformer",
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| 11 |
+
"hidden_act": "gelu",
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| 12 |
+
"hidden_dropout_prob": 0.1,
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| 13 |
+
"hidden_size": 1024,
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| 14 |
+
"initializer_range": 0.02,
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| 15 |
+
"intermediate_size": 4096,
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| 16 |
+
"layer_norm_eps": 1e-05,
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| 17 |
+
"max_position_embeddings": 8194,
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| 18 |
+
"model_type": "xlm-roberta",
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| 19 |
+
"num_attention_heads": 16,
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| 20 |
+
"num_hidden_layers": 24,
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| 21 |
+
"output_past": true,
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| 22 |
+
"pad_token_id": 1,
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| 23 |
+
"position_embedding_type": "absolute",
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| 24 |
+
"torch_dtype": "float32",
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| 25 |
+
"transformers_version": "4.43.4",
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| 26 |
+
"type_vocab_size": 1,
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| 27 |
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"use_cache": true,
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| 28 |
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"vocab_size": 250002
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| 29 |
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}
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openvino_detokenizer.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:17d9c72b4fd3ba3c83bb35f22139463e4ab99b47fae7ae3ac8187243dd58d277
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| 3 |
+
size 5069133
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openvino_detokenizer.xml
ADDED
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@@ -0,0 +1,153 @@
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| 1 |
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<?xml version="1.0"?>
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| 2 |
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<net name="detokenizer" version="11">
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| 3 |
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<layers>
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| 4 |
+
<layer id="0" name="Parameter_19724" type="Parameter" version="opset1">
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| 5 |
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<data shape="?,?" element_type="i64" />
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| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="I64" names="Parameter_19724">
|
| 8 |
+
<dim>-1</dim>
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| 9 |
+
<dim>-1</dim>
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| 10 |
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</port>
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| 11 |
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</output>
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| 12 |
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</layer>
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| 13 |
+
<layer id="1" name="Constant_19704" type="Const" version="opset1">
|
| 14 |
+
<data element_type="u8" shape="5069084" offset="0" size="5069084" />
|
| 15 |
+
<output>
|
| 16 |
+
<port id="0" precision="U8">
|
| 17 |
+
<dim>5069084</dim>
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| 18 |
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</port>
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| 19 |
+
</output>
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| 20 |
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</layer>
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| 21 |
+
<layer id="2" name="Convert_19739" type="Convert" version="opset1">
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| 22 |
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<data destination_type="i32" />
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| 23 |
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<input>
|
| 24 |
+
<port id="0" precision="I64">
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| 25 |
+
<dim>-1</dim>
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| 26 |
+
<dim>-1</dim>
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| 27 |
+
</port>
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| 28 |
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</input>
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| 29 |
+
<output>
|
| 30 |
+
<port id="1" precision="I32">
|
| 31 |
+
<dim>-1</dim>
|
| 32 |
+
<dim>-1</dim>
|
| 33 |
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</port>
|
| 34 |
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</output>
|
| 35 |
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</layer>
|
| 36 |
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<layer id="3" name="SentencepieceDetokenizer_19725" type="SentencepieceDetokenizer" version="extension">
|
| 37 |
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<input>
|
| 38 |
+
<port id="0" precision="U8">
|
| 39 |
+
<dim>5069084</dim>
|
| 40 |
+
</port>
|
| 41 |
+
<port id="1" precision="I32">
|
| 42 |
+
<dim>-1</dim>
|
| 43 |
+
<dim>-1</dim>
|
| 44 |
+
</port>
|
| 45 |
+
</input>
|
| 46 |
+
<output>
|
| 47 |
+
<port id="2" precision="I32">
|
| 48 |
+
<dim>-1</dim>
|
| 49 |
+
</port>
|
| 50 |
+
<port id="3" precision="I32">
|
| 51 |
+
<dim>-1</dim>
|
| 52 |
+
</port>
|
| 53 |
+
<port id="4" precision="U8">
|
| 54 |
+
<dim>-1</dim>
|
| 55 |
+
</port>
|
| 56 |
+
</output>
|
| 57 |
+
</layer>
|
| 58 |
+
<layer id="4" name="Constant_19727" type="Const" version="opset1">
|
| 59 |
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<data element_type="u8" shape="47" offset="5069084" size="47" />
|
| 60 |
+
<output>
|
| 61 |
+
<port id="0" precision="U8">
|
| 62 |
+
<dim>47</dim>
|
| 63 |
+
</port>
|
| 64 |
+
</output>
|
| 65 |
+
</layer>
|
| 66 |
+
<layer id="5" name="Constant_19729" type="Const" version="opset1">
|
| 67 |
+
<data element_type="u8" shape="2" offset="5069131" size="2" />
|
| 68 |
+
<output>
|
| 69 |
+
<port id="0" precision="U8">
|
| 70 |
+
<dim>2</dim>
|
| 71 |
+
</port>
|
| 72 |
+
</output>
|
| 73 |
+
</layer>
|
| 74 |
+
<layer id="6" name="RegexNormalization_19730" type="RegexNormalization" version="extension">
|
| 75 |
+
<data global_replace="true" />
|
| 76 |
+
<input>
|
| 77 |
+
<port id="0" precision="I32">
|
| 78 |
+
<dim>-1</dim>
|
| 79 |
+
</port>
|
| 80 |
+
<port id="1" precision="I32">
|
| 81 |
+
<dim>-1</dim>
|
| 82 |
+
</port>
|
| 83 |
+
<port id="2" precision="U8">
|
| 84 |
+
<dim>-1</dim>
|
| 85 |
+
</port>
|
| 86 |
+
<port id="3" precision="U8">
|
| 87 |
+
<dim>47</dim>
|
| 88 |
+
</port>
|
| 89 |
+
<port id="4" precision="U8">
|
| 90 |
+
<dim>2</dim>
|
| 91 |
+
</port>
|
| 92 |
+
</input>
|
| 93 |
+
<output>
|
| 94 |
+
<port id="5" precision="I32">
|
| 95 |
+
<dim>-1</dim>
|
| 96 |
+
</port>
|
| 97 |
+
<port id="6" precision="I32">
|
| 98 |
+
<dim>-1</dim>
|
| 99 |
+
</port>
|
| 100 |
+
<port id="7" precision="U8">
|
| 101 |
+
<dim>-1</dim>
|
| 102 |
+
</port>
|
| 103 |
+
</output>
|
| 104 |
+
</layer>
|
| 105 |
+
<layer id="7" name="StringTensorPack_19731" type="StringTensorPack" version="extension">
|
| 106 |
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<data mode="begins_ends" />
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| 107 |
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<input>
|
| 108 |
+
<port id="0" precision="I32">
|
| 109 |
+
<dim>-1</dim>
|
| 110 |
+
</port>
|
| 111 |
+
<port id="1" precision="I32">
|
| 112 |
+
<dim>-1</dim>
|
| 113 |
+
</port>
|
| 114 |
+
<port id="2" precision="U8">
|
| 115 |
+
<dim>-1</dim>
|
| 116 |
+
</port>
|
| 117 |
+
</input>
|
| 118 |
+
<output>
|
| 119 |
+
<port id="3" precision="STRING" names="string_output">
|
| 120 |
+
<dim>-1</dim>
|
| 121 |
+
</port>
|
| 122 |
+
</output>
|
| 123 |
+
</layer>
|
| 124 |
+
<layer id="8" name="Result_19732" type="Result" version="opset1">
|
| 125 |
+
<input>
|
| 126 |
+
<port id="0" precision="STRING">
|
| 127 |
+
<dim>-1</dim>
|
| 128 |
+
</port>
|
| 129 |
+
</input>
|
| 130 |
+
</layer>
|
| 131 |
+
</layers>
|
| 132 |
+
<edges>
|
| 133 |
+
<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
|
| 134 |
+
<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
|
| 135 |
+
<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
|
| 136 |
+
<edge from-layer="3" from-port="2" to-layer="6" to-port="0" />
|
| 137 |
+
<edge from-layer="3" from-port="3" to-layer="6" to-port="1" />
|
| 138 |
+
<edge from-layer="3" from-port="4" to-layer="6" to-port="2" />
|
| 139 |
+
<edge from-layer="4" from-port="0" to-layer="6" to-port="3" />
|
| 140 |
+
<edge from-layer="5" from-port="0" to-layer="6" to-port="4" />
|
| 141 |
+
<edge from-layer="6" from-port="5" to-layer="7" to-port="0" />
|
| 142 |
+
<edge from-layer="6" from-port="6" to-layer="7" to-port="1" />
|
| 143 |
+
<edge from-layer="6" from-port="7" to-layer="7" to-port="2" />
|
| 144 |
+
<edge from-layer="7" from-port="3" to-layer="8" to-port="0" />
|
| 145 |
+
</edges>
|
| 146 |
+
<rt_info>
|
| 147 |
+
<bos_token_id value="0" />
|
| 148 |
+
<chat_template value="{% for message in messages %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
|
| 149 |
+
<eos_token_id value="2" />
|
| 150 |
+
<original_tokenizer_class value="<class 'transformers.models.xlm_roberta.tokenization_xlm_roberta_fast.XLMRobertaTokenizerFast'>" />
|
| 151 |
+
<pad_token_id value="1" />
|
| 152 |
+
</rt_info>
|
| 153 |
+
</net>
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openvino_model.bin
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1134182103fd6664946e604e2d12a99a67c5462d03dddee10b2a11d0bc617770
|
| 3 |
+
size 425431703
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openvino_model.xml
ADDED
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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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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e21a141fddc45a135d71b33803d54b75a9002988ff7dbbfef4fc230d3f781f7d
|
| 3 |
+
size 5069088
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openvino_tokenizer.xml
ADDED
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|
|
|
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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_19707" 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_19703" type="Const" version="opset1">
|
| 19 |
+
<data element_type="u8" shape="5069080" offset="4" size="5069080" />
|
| 20 |
+
<output>
|
| 21 |
+
<port id="0" precision="U8">
|
| 22 |
+
<dim>5069080</dim>
|
| 23 |
+
</port>
|
| 24 |
+
</output>
|
| 25 |
+
</layer>
|
| 26 |
+
<layer id="3" name="SentencepieceTokenizer_19706" 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>5069080</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_19708" 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_19709" type="Const" version="opset1">
|
| 65 |
+
<data element_type="i32" shape="" offset="5069084" size="4" />
|
| 66 |
+
<output>
|
| 67 |
+
<port id="0" precision="I32" />
|
| 68 |
+
</output>
|
| 69 |
+
</layer>
|
| 70 |
+
<layer id="6" name="ShapeOf_19710" 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_19711" 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_19715" 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_19715" 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_19716" type="Const" version="opset1">
|
| 134 |
+
<data element_type="i32" shape="" offset="5069084" size="4" />
|
| 135 |
+
<output>
|
| 136 |
+
<port id="0" precision="I32" />
|
| 137 |
+
</output>
|
| 138 |
+
</layer>
|
| 139 |
+
<layer id="12" name="Broadcast_19717" type="Broadcast" version="opset3">
|
| 140 |
+
<data mode="bidirectional" />
|
| 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_19718" 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_19718" 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_19719" 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_19720" 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="3" to-layer="13" to-port="2" />
|
| 215 |
+
<edge from-layer="3" from-port="2" to-layer="13" to-port="1" />
|
| 216 |
+
<edge from-layer="3" from-port="4" to-layer="12" to-port="1" />
|
| 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 |
+
<bos_token_id value="0" />
|
| 230 |
+
<chat_template value="{% for message in messages %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
|
| 231 |
+
<eos_token_id value="2" />
|
| 232 |
+
<original_tokenizer_class value="<class 'transformers.models.xlm_roberta.tokenization_xlm_roberta_fast.XLMRobertaTokenizerFast'>" />
|
| 233 |
+
<pad_token_id value="1" />
|
| 234 |
+
</rt_info>
|
| 235 |
+
</net>
|
sentencepiece.bpe.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
|
| 3 |
+
size 5069051
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 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": "</s>",
|
| 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": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:249df0778f236f6ece390de0de746838ef25b9d6954b68c2ee71249e0a9d8fd4
|
| 3 |
+
size 17082799
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 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": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"250001": {
|
| 36 |
+
"content": "<mask>",
|
| 37 |
+
"lstrip": true,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "<s>",
|
| 45 |
+
"clean_up_tokenization_spaces": true,
|
| 46 |
+
"cls_token": "<s>",
|
| 47 |
+
"eos_token": "</s>",
|
| 48 |
+
"mask_token": "<mask>",
|
| 49 |
+
"model_max_length": 8192,
|
| 50 |
+
"pad_token": "<pad>",
|
| 51 |
+
"sep_token": "</s>",
|
| 52 |
+
"sp_model_kwargs": {},
|
| 53 |
+
"tokenizer_class": "XLMRobertaTokenizer",
|
| 54 |
+
"unk_token": "<unk>"
|
| 55 |
+
}
|