Daft adds local Transformers inference and vectorized LLM functions
lhoestq · x · 2026-07-23
Daft is positioning itself as more than a dataframe library: it can run models, scale heterogeneous compute, and handle world-class I/O. In the showcased integration with Hugging Face Transformers, its AI functions let users do local inference without an API key.
- AI functions include prompt, embedtext, and embedimage.
- The pitch is vectorized LLM/embedding work across text and images.
- The emphasis is on local inference and compute orchestration inside Daft.
More from coding & agent
- HeyGen’s HyperFrames adds a storyboard-first workflow for AI video generation — HeyGen · 2026-07-23
- W&B adds stronger agent tracing, harness integrations and automated evals in Weave — _ScottCondron · 2026-07-23
- Claude Managed Agents adds effort levels, sub-agent streaming and session seeding — EricBuess · 2026-07-23
- AI Autopilot Drives Open-Source Maintenance: Running Hourly to Triage PRs — jiayuan_jy · 2026-07-23
- Embodied Agent Eval: Two Scenes Hit 100% Zero-Shot Success Rate — wandb · 2026-07-23
- A high-school builder’s “Taste Skill” for AI frontend design hits 67,000 stars — soumitrashukla9 · 2026-07-23