Machine Mindset: An MBTI Exploration of Large Language Models If you like our project, please give
390MachineMindset
Machine Mindset: An MBTI Exploration of Large Language Models If you like our project, please give
400MachineMindset
Machine Mindset: An MBTI Exploration of Large Language Models If you like our project, please give
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Machine Mindset: An MBTI Exploration of Large Language Models If you like our project, please give
380MachineMindset
Machine Mindset: An MBTI Exploration of Large Language Models If you like our project, please give
410MachineMindset
CogAgent Reminder: This is the repository for CogAgent of SAT (SwissArmyTransformer) version. Please
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Model Card for Notux 8x7B-v1 This model is a preference-tuned version of mistralai/Mixtral-8x7B-Inst
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模型描述 这里我们提供基于业界领先的目标检测框架DAMO-YOLO训练的检测模型:DAMO-YOLO-S。DAMO-YOLO是一个面向工业落地的目标检测框架,兼顾模型速度与精度,其训练的模型效果超越了
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Model Card for Zephyr 7B Alpha Zephyr is a series of language models that are trained to act as help
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garage garage is a toolkit for developing and evaluating reinforcement learning algorithms, and an a
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This model has been fine-tuned using directive data, building upon the foundation of Knowlm-13B-Base
260
Sambert-Hifigan模型介绍 框架描述 拼接法和参数法是两种Text-To-Speech(TTS)技术路线。近年来参数TTS系统获得了广泛的应用,故此处仅涉及参数法。 参数TTS系统可分为两
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Sambert-Hifigan模型介绍 框架描述 拼接法和参数法是两种Text-To-Speech(TTS)技术路线。近年来参数TTS系统获得了广泛的应用,故此处仅涉及参数法。 参数TTS系统可分为两
350pytorchaudio
OpenBuddy - Open Multilingual Chatbot GitHub and Usage Guide: https://github.com/OpenBuddy/OpenBuddy
270pytorch
Test-Agent: 您的智能测试助理
360llama
该模型当前使用的是默认介绍模版,处于“预发布”阶段,页面仅限所有者可见。 请根据模型贡献文档说明,及时完善模型卡片内容。ModelScope平台将在模型卡片完善后展示。谢谢您的理解。 Clone wi
330pytorchAlibaba
Chat & support: TheBloke's Discord server Want to contribute? TheBloke's Patreon p
260
简介 人喉表皮样癌细胞图像分类模型是专为细胞图像分类任务设计的深度学习模型,采用了深度卷积神经网络技术。该模型的训练数据来自 HEp-2 细胞图像数据集,该数据集源于2014年国际模式识别大会的细胞图
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Meet 10.7B Solar: Elevating Performance with Upstage Depth UP Scaling! (This model is upstage/SOLAR-
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简介 本研究致力于开发一种多位数门牌号识别模型,采用了基于PyTorch的深度卷积神经网络实现方案,旨在从街景图像中高效而准确地识别多位数门牌号。模型的训练数据来源于谷歌街景门牌号码数据集(SVHN)
710
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