Model Card for FLAN-T5 base Table of Contents TL;DR Model Details Usage Uses Bias, Risks, and Limi
540
ERes2Net 语种识别模型 ERes2Net模型结合全局特征和局部特征,从而提高说话人识别性能。局部特征融合将一个单一残差块内的特征融合提取局部信号;全局特征融合使用不同层级输出的不同尺度声学特征
480pytorchaudio
Github • WeChat We opensource our Aquila2 series, now including Aquila2, the base language models,
320aquila
Ziya2-13B-Base Main Page:Fengshenbang Github: Fengshenbang-LM 姜子牙系列模型 Ziya-LLaMA-13B-v1 Ziya-LLaM
470nlp
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data GitHub Repo • Onli
500finetuned
Github • WeChat We opensource our Aquila2 series, now including Aquila2, the base language models,
270
Chat & support: my new Discord server Want to contribute? TheBloke's Patreon page
310facebook
Chat & support: TheBloke's Discord server Want to contribute? TheBloke's Patreon p
340facebook
模型描述 (Model Description) IP-Adapter是一种有效且轻量级的适配器,可为预训练的文本到图像扩散模型实现图像提示功能。IP-Adapter还可以推广到使用现有可控工具的可控
460pytorchText to Image
mPLUG-Owl2介绍 mPLUG-Owl2是一种面向多模态语言模型的模块化的训练范式。其能学习与语言空间相适应的视觉知识,并支持在多模态场景(支持图片、文本输入)下进行多轮对话。它涌现多图关系理解
610multi-modal
Github • WeChat We opensource our Aquila2 series, now including Aquila2, the base language models,
350
RWKV v5 1.5B 16k微调模型 模型擅长小说写作,具备小说扩写,续写,定向续写等指令,欢迎测试反馈,QQ群:343127667 建议参数temp 1, topp 0.3, presence
330
Image drawn by GPT-4 DALL·E 3 TL;DR: Perhaps better than all existing models < 70B, in most quantita
600
RWKV v5 1.5B 16k微调模型 模型擅长角色扮演,建议参数temp 1, topp 0.3, presence penalty 0.1-0.3 frequency penalty 0.8-1
360
Chat & support: my new Discord server Want to contribute? TheBloke's Patreon page
840pytorch
RoBERTa large model Pretrained model on English language using a masked language modeling (MLM) obje
570pytorch
DistilBERT base model (uncased) This model is a distilled version of the BERT base model. It was int
600
News Our first data-centric LLM competition begins! Please visit the competition's official websites
500data-juicer
News Our first data-centric LLM competition begins! Please visit the competition's official websites
540data-juicer
News Our first data-centric LLM competition begins! Please visit the competition's official websites
440data-juicer
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