AI · Intermediate
Hugging Face for Desklet OS
The Hugging Face Hub hosts thousands of models, datasets, and spaces. On Desklet OS you can use that ecosystem locally for text, vision, and embedding tasks. This course covers accounts and tokens, the transformers library, running inference on CPU or GPU, and how Desklet apps load models responsibly.
- Level
- Intermediate
- Lessons
- 10 lessons
- Modules
- 3 modules
What this course covers
- —Navigate the Hugging Face Hub and pick models for Desklet workloads
- —Authenticate and cache models on Desklet OS
- —Run pipelines for text and embeddings locally
- —Integrate Hugging Face models into Desklet applications safely
Curriculum
1. Hub basics on Desklet OS
3 lessons
- What Hugging Face provides
- Python environment on Desklet OS
- Tokens and caching
2. Running models locally
3 lessons
- Your first pipeline
- Text generation on device
- Embeddings for search
3. Desklet integration
4 lessons
- Choosing models from the Hub
- Loading models in Desklet apps
- Ollama vs Hugging Face on Desklet
- Ship a small Desklet HF tool
Access
Open
No payment in this version
Topics
Desklet OSHugging FaceTransformersModel Hub