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README.md

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+---
+language: ko
+---
+
+# KoELECTRA (Small Discriminator)
+
+Pretrained ELECTRA Language Model for Korean (`koelectra-small-discriminator`)
+
+For more detail, please see [original repository](https://github.com/monologg/KoELECTRA/blob/master/README_EN.md).
+
+## Usage
+
+### Load model and tokenizer
+
+```python
+>>> from transformers import ElectraModel, ElectraTokenizer
+
+>>> model = ElectraModel.from_pretrained("monologg/koelectra-small-discriminator")
+>>> tokenizer = ElectraTokenizer.from_pretrained("monologg/koelectra-small-discriminator")
+```
+
+### Tokenizer example
+
+```python
+>>> from transformers import ElectraTokenizer
+>>> tokenizer = ElectraTokenizer.from_pretrained("monologg/koelectra-small-discriminator")
+>>> tokenizer.tokenize("[CLS] 한국어 ELECTRA를 공유합니다. [SEP]")
+['[CLS]', '한국어', 'E', '##L', '##EC', '##T', '##RA', '##를', '공유', '##합니다', '.', '[SEP]']
+>>> tokenizer.convert_tokens_to_ids(['[CLS]', '한국어', 'E', '##L', '##EC', '##T', '##RA', '##를', '공유', '##합니다', '.', '[SEP]'])
+[2, 18429, 41, 6240, 15229, 6204, 20894, 5689, 12622, 10690, 18, 3]
+```
+
+## Example using ElectraForPreTraining
+
+```python
+import torch
+from transformers import ElectraForPreTraining, ElectraTokenizer
+
+discriminator = ElectraForPreTraining.from_pretrained("monologg/koelectra-small-discriminator")
+tokenizer = ElectraTokenizer.from_pretrained("monologg/koelectra-small-discriminator")
+
+sentence = "나는 방금 밥을 먹었다."
+fake_sentence = "나는 내일 밥을 먹었다."
+
+fake_tokens = tokenizer.tokenize(fake_sentence)
+fake_inputs = tokenizer.encode(fake_sentence, return_tensors="pt")
+
+discriminator_outputs = discriminator(fake_inputs)
+predictions = torch.round((torch.sign(discriminator_outputs[0]) + 1) / 2)
+
+print(list(zip(fake_tokens, predictions.tolist()[1:-1])))
+```

config.json

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+{
+  "architectures": [
+    "ElectraForPreTraining"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "embedding_size": 128,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 256,
+  "initializer_range": 0.02,
+  "intermediate_size": 1024,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "electra",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "type_vocab_size": 2,
+  "vocab_size": 32200
+}

gitattributes

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+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text

pytorch_model.bin

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+oid sha256:9397dd1796572c590e2a5b39a49e0b031ddf295af46a6ad61c8ff96b6a3a8757
+size 55102217

tokenizer_config.json

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+{
+  "do_lower_case": false,
+  "model_max_length": 512
+}