model files

README.md

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+---
+language: ja
+license: MIT
+datasets:
+- mC4 Japanese
+---
+
+# transformers-ud-japanese-electra-ginza-510 (sudachitra-wordpiece, mC4 Japanese)
+
+This is an [ELECTRA](https://github.com/google-research/electra) model pretrained on approximately 200M Japanese sentences extracted from the [mC4](https://huggingface.co/datasets/mc4) and finetuned by [spaCy v3](https://spacy.io/usage/v3) on [UD\_Japanese\_BCCWJ r2.8](https://universaldependencies.org/treebanks/ja_bccwj/index.html).
+
+The base pretrain model is [megagonlabs/transformers-ud-japanese-electra-base-discrimininator](https://huggingface.co/megagonlabs/transformers-ud-japanese-electra-base-discriminator).
+
+The entire spaCy v3 model is distributed as a python package named [`ja_ginza_electra`](https://pypi.org/project/ja-ginza-electra/) from PyPI along with [`GiNZA v5`](https://github.com/megagonlabs/ginza) which provides some custom pipeline components to recognize the Japanese bunsetu-phrase structures.
+Try running it as below:
+```console
+$ pip install ginza ja_ginza_electra
+$ ginza
+```
+
+## Licenses
+
+The models are distributed under the terms of the [MIT License](https://opensource.org/licenses/mit-license.php).
+
+## Acknowledgments
+
+This model is permitted to be published under the `MIT License` under a joint research agreement between NINJAL (National Institute for Japanese Language and Linguistics) and Megagon Labs Tokyo.
+
+## Citations
+- [mC4](https://huggingface.co/datasets/mc4)
+
+Contains information from `mC4` which is made available under the [ODC Attribution License](https://opendatacommons.org/licenses/by/1-0/).
+```
+@article{2019t5,
+    author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
+    title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
+    journal = {arXiv e-prints},
+    year = {2019},
+    archivePrefix = {arXiv},
+    eprint = {1910.10683},
+}
+```
+
+- [UD\_Japanese\_BCCWJ r2.8](https://universaldependencies.org/treebanks/ja_bccwj/index.html)
+
+```
+Asahara, M., Kanayama, H., Tanaka, T., Miyao, Y., Uematsu, S., Mori, S.,
+Matsumoto, Y., Omura, M., & Murawaki, Y. (2018).
+Universal Dependencies Version 2 for Japanese.
+In LREC-2018.
+```

config.json

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+{
+  "_name_or_path": "megagonlabs/transformers-ud-japanese-electra-base-ginza-510",
+  "architectures": [
+    "ElectraModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "embedding_size": 768,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 0.0,
+  "max_position_embeddings": 512,
+  "model_name": "base",
+  "model_type": "electra",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "summary_activation": "gelu",
+  "summary_last_dropout": 0.1,
+  "summary_type": "first",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.11.3",
+  "type_vocab_size": 2,
+  "vocab_size": 30112
+}

pytorch_model.bin

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+oid sha256:52ac9a8db9573b67ca572ed0e4da3f0ead34f6030a1247099f97049c15706cc7
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special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": false, "do_nfkc": false, "do_word_tokenize": true, "do_subword_tokenize": true, "word_tokenizer_type": "sudachipy", "subword_tokenizer_type": "wordpiece", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "word_form_type": "dictionary_and_surface", "sudachipy_kwargs": {"split_mode": "A", "dict_type": "core"}, "use_fast": false, "tokenizer_class": "ElectraSudachipyTokenizer"}