Transformer Xl Chinese
transformer xl在中文文本生成上的尝试（可写小说、古诗）（transformer xl for text generation of chinese）
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gpt2 Chinese | 7,249 | 4 months ago | 105 | mit | Python | |||||
| Chinese version of GPT2 training code, using BERT tokenizer. | ||||||||||
| Gpt2 Chitchat | 2,870 | 6 months ago | 65 | Python | ||||||
| GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想) | ||||||||||
| Gpt2 Ml | 1,674 | a year ago | 22 | apache-2.0 | Python | |||||
| GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型 | ||||||||||
| Cdial Gpt | 944 | 2 years ago | 10 | mit | Python | |||||
| A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models | ||||||||||
| Transformer Xl Chinese | 578 | 2 years ago | 15 | apache-2.0 | Python | |||||
| transformer xl在中文文本生成上的尝试（可写小说、古诗）（transformer xl for text generation of chinese） | ||||||||||
| Gpt2 Newstitle | 528 | 2 years ago | 9 | apache-2.0 | Python | |||||
| Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。 | ||||||||||
| Cpt | 380 | a year ago | Python | |||||||
| CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation | ||||||||||
| Nlp Projects | 345 | 3 years ago | 1 | OpenEdge ABL | ||||||
| word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding | ||||||||||
| Cornucopia Llama Fin Chinese | 178 | 10 months ago | 6 | apache-2.0 | Python | |||||
| 聚宝盆(Cornucopia): 基于中文金融知识的LLaMA微调模型；涉及SFT、RLHF、GPU训练部署等 | ||||||||||
| Crosstalk Generation | 150 | 2 years ago | n,ull | apache-2.0 | Python | |||||
| Code and data for crosstalk text generation tasks, exploring whether large models and pre-trained language models can understand humor. | ||||||||||
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