Text Classification
Transformers
Safetensors
Korean
bert
klue
korean
minwon
complaint
public-administration
text-embeddings-inference
Instructions to use atti433/minde-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atti433/minde-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="atti433/minde-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("atti433/minde-classifier") model = AutoModelForSequenceClassification.from_pretrained("atti433/minde-classifier") - Notebooks
- Google Colab
- Kaggle
Upload minde-classifier weights
Browse files- added_tokens.json +11 -0
- config.json +52 -0
- model.safetensors +3 -0
- special_tokens_map.json +102 -0
- tokenizer.json +0 -0
- tokenizer_config.json +140 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
added_tokens.json
ADDED
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{
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"[ACCT]": 32005,
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"[ADDR]": 32000,
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| 4 |
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"[BIZ]": 32006,
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| 5 |
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"[LOC]": 32007,
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| 6 |
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"[NAME]": 32001,
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| 7 |
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"[NUM]": 32003,
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| 8 |
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"[ORG]": 32002,
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| 9 |
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"[PERSON]": 32008,
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| 10 |
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"[TEL]": 32004
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}
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config.json
ADDED
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@@ -0,0 +1,52 @@
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{
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"_name_or_path": "klue/bert-base",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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| 7 |
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"classifier_dropout": null,
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"hidden_act": "gelu",
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| 9 |
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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": "\uad50\ud1b5",
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"1": "\uac74\ucd95",
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"2": "\ud589\uc815",
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"3": "\ubcf4\uac74\uc704\uc0dd",
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"4": "\ud658\uacbd",
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"5": "\ubb38\ud654_\uc5ec\uac00",
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"6": "\ub18d\ucd95\uc0b0",
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"7": "\ubcf5\uc9c0",
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"8": "\uc138\ubb34",
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"9": "\uc0c1\ud558\uc218\ub3c4",
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"10": "\uacbd\uc81c"
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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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| 27 |
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"\uac74\ucd95": 1,
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| 28 |
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"\uacbd\uc81c": 10,
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| 29 |
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"\uad50\ud1b5": 0,
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| 30 |
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"\ub18d\ucd95\uc0b0": 6,
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| 31 |
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"\ubb38\ud654_\uc5ec\uac00": 5,
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| 32 |
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"\ubcf4\uac74\uc704\uc0dd": 3,
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| 33 |
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"\ubcf5\uc9c0": 7,
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| 34 |
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"\uc0c1\ud558\uc218\ub3c4": 9,
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| 35 |
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"\uc138\ubb34": 8,
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| 36 |
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"\ud589\uc815": 2,
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| 37 |
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"\ud658\uacbd": 4
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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| 43 |
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"num_hidden_layers": 12,
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| 44 |
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.46.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32009
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}
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:88dca210d502d38674496a5f0dd2d0e1fc2f0781902aed23cc59689e2c161179
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size 442554396
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special_tokens_map.json
ADDED
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@@ -0,0 +1,102 @@
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{
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| 2 |
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"additional_special_tokens": [
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{
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"content": "[ADDR]",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false
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| 9 |
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},
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| 10 |
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{
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| 11 |
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"content": "[NAME]",
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| 12 |
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"lstrip": false,
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| 13 |
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"normalized": false,
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| 14 |
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"rstrip": false,
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| 15 |
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"single_word": false
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| 16 |
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},
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| 17 |
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{
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| 18 |
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"content": "[ORG]",
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| 19 |
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"lstrip": false,
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| 20 |
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"normalized": false,
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| 21 |
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"rstrip": false,
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| 22 |
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"single_word": false
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| 23 |
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},
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| 24 |
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{
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| 25 |
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"content": "[NUM]",
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| 26 |
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"lstrip": false,
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| 27 |
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"normalized": false,
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| 28 |
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"rstrip": false,
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| 29 |
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"single_word": false
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| 30 |
+
},
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| 31 |
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{
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| 32 |
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"content": "[TEL]",
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| 33 |
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"lstrip": false,
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| 34 |
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"normalized": false,
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| 35 |
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"rstrip": false,
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| 36 |
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"single_word": false
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| 37 |
+
},
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| 38 |
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{
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| 39 |
+
"content": "[ACCT]",
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| 40 |
+
"lstrip": false,
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| 41 |
+
"normalized": false,
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| 42 |
+
"rstrip": false,
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| 43 |
+
"single_word": false
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| 44 |
+
},
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| 45 |
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{
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| 46 |
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"content": "[BIZ]",
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| 47 |
+
"lstrip": false,
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| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
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| 50 |
+
"single_word": false
|
| 51 |
+
},
|
| 52 |
+
{
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| 53 |
+
"content": "[LOC]",
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| 54 |
+
"lstrip": false,
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| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
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| 57 |
+
"single_word": false
|
| 58 |
+
},
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| 59 |
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{
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| 60 |
+
"content": "[PERSON]",
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| 61 |
+
"lstrip": false,
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| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
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| 64 |
+
"single_word": false
|
| 65 |
+
}
|
| 66 |
+
],
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| 67 |
+
"cls_token": {
|
| 68 |
+
"content": "[CLS]",
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| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false
|
| 73 |
+
},
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| 74 |
+
"mask_token": {
|
| 75 |
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"content": "[MASK]",
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| 76 |
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"lstrip": false,
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| 77 |
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"normalized": false,
|
| 78 |
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"rstrip": false,
|
| 79 |
+
"single_word": false
|
| 80 |
+
},
|
| 81 |
+
"pad_token": {
|
| 82 |
+
"content": "[PAD]",
|
| 83 |
+
"lstrip": false,
|
| 84 |
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"normalized": false,
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| 85 |
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"rstrip": false,
|
| 86 |
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"single_word": false
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| 87 |
+
},
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| 88 |
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"sep_token": {
|
| 89 |
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"content": "[SEP]",
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| 90 |
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"lstrip": false,
|
| 91 |
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"normalized": false,
|
| 92 |
+
"rstrip": false,
|
| 93 |
+
"single_word": false
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| 94 |
+
},
|
| 95 |
+
"unk_token": {
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| 96 |
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"content": "[UNK]",
|
| 97 |
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"lstrip": false,
|
| 98 |
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"normalized": false,
|
| 99 |
+
"rstrip": false,
|
| 100 |
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"single_word": false
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| 101 |
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}
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| 102 |
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}
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tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
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| 1 |
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{
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| 2 |
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"added_tokens_decoder": {
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| 3 |
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"0": {
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| 4 |
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"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
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"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
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| 11 |
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"1": {
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| 12 |
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"content": "[UNK]",
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| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
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"2": {
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| 20 |
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"content": "[CLS]",
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| 21 |
+
"lstrip": false,
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| 22 |
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"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
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"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"32000": {
|
| 44 |
+
"content": "[ADDR]",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"32001": {
|
| 52 |
+
"content": "[NAME]",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"32002": {
|
| 60 |
+
"content": "[ORG]",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"32003": {
|
| 68 |
+
"content": "[NUM]",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"32004": {
|
| 76 |
+
"content": "[TEL]",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"32005": {
|
| 84 |
+
"content": "[ACCT]",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"32006": {
|
| 92 |
+
"content": "[BIZ]",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"32007": {
|
| 100 |
+
"content": "[LOC]",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"32008": {
|
| 108 |
+
"content": "[PERSON]",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
}
|
| 115 |
+
},
|
| 116 |
+
"additional_special_tokens": [
|
| 117 |
+
"[ADDR]",
|
| 118 |
+
"[NAME]",
|
| 119 |
+
"[ORG]",
|
| 120 |
+
"[NUM]",
|
| 121 |
+
"[TEL]",
|
| 122 |
+
"[ACCT]",
|
| 123 |
+
"[BIZ]",
|
| 124 |
+
"[LOC]",
|
| 125 |
+
"[PERSON]"
|
| 126 |
+
],
|
| 127 |
+
"clean_up_tokenization_spaces": false,
|
| 128 |
+
"cls_token": "[CLS]",
|
| 129 |
+
"do_basic_tokenize": true,
|
| 130 |
+
"do_lower_case": false,
|
| 131 |
+
"mask_token": "[MASK]",
|
| 132 |
+
"model_max_length": 512,
|
| 133 |
+
"never_split": null,
|
| 134 |
+
"pad_token": "[PAD]",
|
| 135 |
+
"sep_token": "[SEP]",
|
| 136 |
+
"strip_accents": null,
|
| 137 |
+
"tokenize_chinese_chars": true,
|
| 138 |
+
"tokenizer_class": "BertTokenizer",
|
| 139 |
+
"unk_token": "[UNK]"
|
| 140 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:14da904259b836f2f026ca7dd689b1718871b3c687c70059119543f9aa095940
|
| 3 |
+
size 5280
|
vocab.txt
ADDED
|
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|
|
|