In this tutorial, we build a complete PDF-to-structured-data extraction workflow round Lift, with a concentrate on managed analysis reasonably than a easy demo run. We start by getting ready a Colab-compatible GPU surroundings, deciding on the suitable precision mode for the accessible {hardware}, and patching mannequin loading to make sure the Lift backend runs reliably…
Google Research launched TabFM, a basis mannequin constructed for tabular knowledge. TabFM performs classification and regression with out dataset-specific coaching. Every prediction comes from a single ahead go. The mannequin reframes tabular prediction as an in-context studying drawback. It is accessible now on Hugging Face and GitHub. TL;DR TabFM predicts on unseen tables with no…
In this tutorial, we discover CUP, Baidu’s Common Useful Python library, as a sensible utility toolkit for constructing stronger Python workflows. We start by establishing the library in a Colab-friendly setting after which transfer by way of its main subsystems step-by-step, together with logging, decorators, nested configuration, caching, ID technology, thread swimming pools, interruptible threads,…
In this tutorial, we construct a sophisticated, self-contained OCRmyPDF workflow. We begin by putting in the required system and Python dependencies, then create an artificial image-only PDF for scanning so we are able to check OCR with out counting on exterior information. From there, we use OCRmyPDF’s actual public API to transform scanned paperwork into…
In this tutorial, we construct a full Crawlee-for-Python workflow that covers atmosphere setup, native web site technology, static crawling, dynamic crawling, structured extraction, and downstream information processing. We start by configuring a appropriate Crawlee runtime with pinned Pydantic help, Playwright browser set up, persistent storage directories, and Colab-safe execution dealing with. We then generate a…
TLDR YaFF is Yandex’s open-source zero-copy wire format for Protobuf — Apache 2.0, at the moment C++, v0.1.0. The .proto file stays the supply of reality; solely the bodily reminiscence format adjustments. On Yandex’s benchmarks, the Flat Layout reads scorching knowledge ~3.8× sooner than FlatBuffers, inside 1.2× of a uncooked C++ struct. Four layouts —…
Long-context giant language fashions (LLMs) face a reminiscence bottleneck that has nothing to do with mannequin weights. During decoding, transformers cache the important thing and worth (KV) vectors for each token at each layer in order that they don’t must recompute consideration. This cache grows linearly with sequence size and batch measurement, and at lengthy…
Zyphra has launched Zamba2-VL, a household of open vision-language fashions. The launch covers three sizes: 1.2B, 2.7B, and 7B parameters. Each mannequin is constructed on the Zamba2 hybrid SSM–Transformer spine. Vision-language fashions (VLMs) learn photos and textual content collectively. They reply questions on charts, paperwork, and pictures. Most open VLMs use a dense Transformer because…
In this tutorial, we construct an end-to-end 3D medical picture segmentation pipeline utilizing MONAI to phase the spleen on the Medical Segmentation Decathlon Task09 dataset. We work with volumetric CT scans, apply medical imaging transformations similar to orientation alignment, voxel-spacing normalization, depth windowing, foreground cropping, and patch-based sampling, after which prepare a 3D UNet mannequin…
In this tutorial, we implement a sophisticated hands-on workflow for NVIDIA cuTile Python, a tile-based GPU programming interface for writing environment friendly CUDA-style kernels instantly in Python. We begin by making ready a Colab-friendly setting, checking the obtainable GPU, driver, CUDA, and cuTile installations earlier than working any kernel code. We then construct tiled examples…