Hugging Face + Langchain in 5 mins | Build AI Apps in 5 Minutes with 400K+ FREE Models
AI Summary
- Hugging Face Overview
- Valued at over $4.5 billion.
- Over 27k GitHub followers.
- Products used by major companies (Microsoft, Meta, Amazon, Google, Intel).
- Offers 400,000+ free AI models.
- Model Categories
- Image to text, image to video, text to video, documentation, Q&A, computer vision, NLP, text classification, summarization, text to speech, text to audio, reinforcement learning.
- Using Hugging Face
- Discover and share AI models.
- Three main components: Models, Datasets, Spaces.
- Models
- Categories listed on the left.
- Select a model to view details and try it out.
- Model cards provide descriptions and capabilities.
- Files and versions show uploaded files.
- Models can be deployed on Hugging Face Spaces.
- Datasets
- Find datasets for training models.
- Preview datasets and download using the Hugging Face datasets library.
- Spaces
- Showcase and share AI apps.
- Deploy apps easily.
- Explore other users’ shared apps and models.
- Building an AI App Example
- Create an app that turns an image of food into a recipe with voice instructions.
- Use Salesforce’s PLIP model for image to text.
- Integrate with OpenAI’s language model for detailed recipes.
- Use Hugging Face’s text to speech model for audio output.
- Hugging Face also offers diffusion models and other libraries.
- Conclusion
- Hugging Face is essential for AI app development.
- Encourages learning how to use its platform and libraries.
- Offers a comprehensive suite of tools for AI model discovery, training, and deployment.