Hugging Face Spaces is an exceptional platform for hosting and deploying machine learning (ML) models and applications. With its user-friendly interface and accessibility, it offers a seamless experience for sharing ML projects globally, facilitating real-time collaboration, and showcasing one’s work in an impressive portfolio for potential employers or clients.
With the arrival of GenAI, many cool models and apps have been rising on Hugging Face, allowing researchers and developers to create space and models. Leveraging Gradio, Streamlit, Docker, or static HTML, users can effortlessly create interactive web interfaces or self-contained applications for their ML models.
Integrating the Hugging Face hub enhances the experience by allowing easy utilisation of existing models and datasets.
The platform’s scalability accommodates projects of varying sizes, ensuring deployment flexibility. Since Hugging Face Spaces is cost-free for most use cases and prioritises security, it provides a secure environment for hosting ML applications.
Draw to Search Art by Merve
This captivating and innovative space on Hugging Face transforms simple sketches into stunning works of art through the power of AI. It offers users the delightful experience of seeing their sketches come to life. The AI model analyses key elements and matches them with a vast database of high-quality images from WikiArt.
Beyond being a mere image search engine, Draw to Search Art is an open-source platform for exploration and inspiration. Users can gain new perspectives on their artistic vision, learn from professional artists, and fuel their creativity by discovering visually similar artworks.
Check out the space here.
PhotoMaker by TencentARC
This particular space helps with photo editing by offering an AI-powered platform that effortlessly transforms ordinary photos into captivating works of art. With an extensive array of pre-trained artistic styles ranging from classic Van Gogh to futuristic and anime aesthetics, users can easily add a touch of creativity to their images.
Its user-friendly interface sets PhotoMaker Style apart, allowing casual photo enthusiasts and aspiring artists to fine-tune effects, adjust details, and explore personalised visions without complex editing skills. The platform’s high-quality results, courtesy of a vast dataset of high-resolution images, ensure clarity and detail retention in artistic transformations.
Beyond its core features, PhotoMaker Style encourages creative exploration by connecting users within the Hugging Face Spaces platform, fostering a community where individuals can share creations and discover new artistic styles.
Check out the space here.
Open LLM Leaderboard by HuggingFaceH4
This space is an engaging and accessible front-row experience of the landscape of large language models (LLMs). Unlike traditional research papers, this space offers a dynamic platform with comprehensive tracking of state-of-the-art LLMs, presenting their performance on various tasks through interactive visualisations.
Beyond being a mere data repository, the leaderboard is a valuable resource for learning about AI, gaining inspiration, and participating in discussions on ethics and the future of these powerful models.
Whether you’re an AI expert, a curious learner, or simply intrigued by artificial intelligence, the Open LLM Leaderboard is a must-visit space, providing a window into the cutting edge of AI development and showcasing the thrilling race towards more advanced language models.
Check out the space here.
Segment Anything Web by Xenova
This is a solution for effortlessly extracting valuable data from websites, eliminating the struggles associated with traditional web scraping. This user-friendly space allows you to extract text, images, and more with a simple point-and-click interface, eliminating the need for coding expertise.
Its precise targeting features enable users to define specific areas of interest easily, and with multiple output formats, the extracted data can be tailored to individual preferences. The tool saves time and effort by automating repetitive tasks, and it enhances productivity by facilitating quick and efficient data extraction from multiple websites.
Whether you’re a researcher, journalist, data analyst, or need efficient information gathering, Segment Anything Web opens up a world of possibilities, making web data extraction a seamless and transformative experience.
Check out the space here.
ReplaceAnything by Model Scope
Hosted on the Hugging Face Space, it acts as a transformative AI-powered tool for refining your writing with precision. Bid farewell to typos, grammatical mishaps, and word choice struggles as ReplaceAnything employs cutting-edge AI to identify and correct errors in your text seamlessly.
Its user-friendly process allows you to paste your writing, review AI-generated suggestions, and customise corrections according to your preferences. Beyond basic corrections, ReplaceAnything demonstrates contextual awareness, offers style suggestions, and allows users to define personalised rules.
Serving as more than just a grammar checker, it acts as a comprehensive writing assistant, enhancing productivity, refining skills, and instilling confidence in your written work.
Check out the space here.
TinyLlama
This Hugging Face Space, developed by VatsaDev, introduces an open-source small language model based on the T5 architecture. With a compact size of 137MB, TinyLlama boasts versatility, proving adept at tasks such as text generation, translation, question answering, summarization, and code generation.
Its speed in generating text or answering queries in milliseconds and high accuracy make it a standout choice for applications on devices with limited resources.
TinyLlama’s availability on Hugging Face extends to various spaces, showcasing its creative potential. Noteworthy examples include the TinyLlama Chat Space for interactive conversations with a TinyLlama-powered bot and the LlamaReviews Space, where amusing product reviews are generated using TinyLlama.
Check out the space here.
Pheme by PolyAI
This leading company, specialising in conversational AI for customer service, has established a notable presence on Hugging Face, a platform for open-source AI models and tools. With a verified profile and listed team members, PolyAI focuses on contributing to the open-source AI community by sharing Text-to-Speech (TTS) models and datasets.
Notably, their Pheme Space offers a TTS model trained on high-quality audio for realistic and expressive voices, currently running on Hugging Face infrastructure. The availability of three TTS models, including PolyAI/BigVGAN-L, and datasets such as PolyAI/minds14, PolyAI/evi, and PolyAI/banking77, underscores PolyAI’s commitment to enhancing dialogue systems.
This integration of commercial expertise with open-source contributions makes PolyAI a valuable addition to the Hugging Face platform, offering insights into realistic voice generation for customer service applications and linking industry advancements and the broader AI community.
Check out the space here.
