tanreinama / text2text-japanese
gpt-2 based text2text conversion model
☆32Updated 3 years ago
Alternatives and similar repositories for text2text-japanese:
Users that are interested in text2text-japanese are comparing it to the libraries listed below
- おーぷん2ちゃんねるをクロールして作成した対話コーパス☆95Updated 3 years ago
- Mecab + NEologd + Docker + Python3☆35Updated 2 years ago
- Japanese-BPEEncoder☆41Updated 3 years ago
- FlexGen with docker☆29Updated 2 years ago
- ☆19Updated 2 years ago
- JMultiWOZ: A Large-Scale Japanese Multi-Domain Task-Oriented Dialogue Dataset, LREC-COLING 2024☆23Updated last year
- 日本語T5モデル☆115Updated 6 months ago
- ☆62Updated 4 years ago
- ☆50Updated last year
- Japanese Realistic Textual Entailment Corpus (NLP 2020, LREC 2020)☆75Updated last year
- AI Talksoft of Tsukuyomichan☆40Updated last year
- An open collection of annotated voices in Japanese language☆50Updated this week
- Notionに毎日新しいarXiv論文のアブストラクト日本語訳 + αを表示するスクリプト☆12Updated 2 years ago
- GPTがYouTuberをやります☆62Updated last year
- 日本語CLIPモデル☆13Updated 2 years ago
- Accommodation Search Dialog Corpus (宿泊施設探索対話コーパス)☆25Updated last year
- tutorial for deep learning dialogue models☆76Updated 2 years ago
- VOICEVOXのコア内で用いられているディープラーニングモデルの推論コード☆29Updated last week
- Test script of LLMs☆55Updated last year
- ☆83Updated last year
- The Remdis toolkit: Building advanced real-time multimodal dialogue systems with incremental processing and large language models☆88Updated last month
- ☆28Updated 2 years ago
- General-purpose Swich transformer based Japanese language model☆117Updated last year
- ☆33Updated 4 years ago
- Code for evaluating Japanese pretrained models provided by NTT Ltd.☆240Updated last year
- A Japanese accent dictionary generator☆114Updated last year
- A tool to get the katakana reading of an alphabetical string.☆32Updated 3 years ago
- This project uses llama.cpp as an LLM server to perform inference and generate speech using Synthetic voice library☆22Updated last year
- Kyoto University Text Corpus☆62Updated last year
- ☆27Updated 4 years ago