The post discusses the power of AI using Hugging Face's transformative tools. It covers topics such as Hugging Face Models, Transformers Models, Computer Vision Models, Speech Models, Hugging Face Datasets, and Hugging Face Spaces. It provides an overview and code examples for each topic.
Table of contents
🤗Power of AI: Guide to HuggingFace’s Transformative ToolsContentsGetting Started with Hugging FaceHere your truly’s profileCreate a token tooIntroduction to the Hugging Face HubHugging Face ModelsTransformers ModelsComputer Vision ModelsSpeech ModelsHugging Face DatasetsProcessing and visualizing datasetsHugging Face SpacesCreating your own Space with Gradio or StreamlitStreamlitCheck out my All of Streamlit inside Streamlit applicationCreating your own Space with Gradio or StreamlitGradio SpacesStreamlit SpacesHugging Face Accelerated Startup ProgramBenefits of the program for ML startupsHow the program helps accelerate development of ML productsAdvanced TopicsScaling Hugging Face models in productionMonitoring and testing models in productionContinual learning and model updatesResponsible AI practices with Hugging Face modelsSome Awesome Playgrounds(Individual guide coming up), be sure to follow me!PixArt Sigma Image Generation🤗 Open LLM LeaderboardAI Stories FactoryLow-bit Quantized Open LLM LeaderboardStoryDiffusion: Consistent Self-Attention for Long-Range Image and Video GenerationConclusionThank you for reading, and happy building! 🤗Be sure to follow me for more on this series on Huggingface, at least 100 more such guides are on their way 🤗In Plain English 🚀Sort: