upload tf v1 ckpt

README.md

@@ -1,55 +0,0 @@
----
-language: ko
-license: apache-2.0
-tags:
-  - korean
----
-
-# KoELECTRA v3 (Base Discriminator)
-
-Pretrained ELECTRA Language Model for Korean (`koelectra-base-v3-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-base-v3-discriminator")
->>> tokenizer = ElectraTokenizer.from_pretrained("monologg/koelectra-base-v3-discriminator")
-```
-
-### Tokenizer example
-
-```python
->>> from transformers import ElectraTokenizer
->>> tokenizer = ElectraTokenizer.from_pretrained("monologg/koelectra-base-v3-discriminator")
->>> tokenizer.tokenize("[CLS] 한국어 ELECTRA를 공유합니다. [SEP]")
-['[CLS]', '한국어', 'EL', '##EC', '##TRA', '##를', '공유', '##합니다', '.', '[SEP]']
->>> tokenizer.convert_tokens_to_ids(['[CLS]', '한국어', 'EL', '##EC', '##TRA', '##를', '공유', '##합니다', '.', '[SEP]'])
-[2, 11229, 29173, 13352, 25541, 4110, 7824, 17788, 18, 3]
-```
-
-## Example using ElectraForPreTraining
-
-```python
-import torch
-from transformers import ElectraForPreTraining, ElectraTokenizer
-
-discriminator = ElectraForPreTraining.from_pretrained("monologg/koelectra-base-v3-discriminator")
-tokenizer = ElectraTokenizer.from_pretrained("monologg/koelectra-base-v3-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,
-  "hidden_size": 768,
-  "intermediate_size": 3072,
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
-  "embedding_size": 768,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "initializer_range": 0.02,
-  "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 512,
-  "model_type": "electra",
-  "type_vocab_size": 2,
-  "vocab_size": 35000,
-  "pad_token_id": 0
-}

pytorch_model.bin → koelectra-base-v3.tar.gz

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 version https://git-lfs.github.com/spec/v1
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-size 451741507
+oid sha256:2c27c8ec7bb7034ecc201292e7d79fab762cbd00795021131c999c0f56232730
+size 1354355275

tokenizer_config.json

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