SmolDocling
256M VLM for end-to-end document AI
Listed in categories:
DevelopmentOpen SourceArtificial Intelligence
Description
Hugging Face is a collaborative platform for the machine learning community, enabling users to create, discover, and collaborate on models, datasets, and applications. It offers a wide range of tools and resources for building and deploying machine learning models across various modalities including text, image, video, audio, and 3D.
How to use SmolDocling?
Users can sign up on the Hugging Face platform to create and share their machine learning models and datasets. They can explore existing models, collaborate with others, and utilize paid compute solutions for enhanced performance.
Core features of SmolDocling:
1️⃣
Collaborative platform for machine learning models and datasets
2️⃣
Support for multiple modalities (text, image, video, audio, 3D)
3️⃣
Open-source tools for building and deploying ML applications
4️⃣
Paid compute solutions for optimized inference and GPU access
5️⃣
Enterprise-grade security and support for organizations
Why could be used SmolDocling?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Collaborating on machine learning projects with a global community | ✅ | |
| # 2 | Building and sharing machine learning models and datasets | ✅ | |
| # 3 | Deploying machine learning applications with optimized performance | ✅ | |
Who developed SmolDocling?
Hugging Face is a leading company in the AI and machine learning space, known for its open-source contributions and community-driven approach. They provide a robust platform for developers and researchers to advance their work in machine learning.