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CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

What this repo does

Jupyter notebook quick-start guide for running ML training experiments on the tracebloc platform. Walks users through connecting their account, uploading a model, linking a dataset, configuring training parameters, and starting an experiment.

Notebook locations

  • notebooks/traceblocTrainingGuide.ipynb -- main training guide (also available on Google Colab)
  • notebooks/GenerateCheckWeights.ipynb -- utility for generating/checking model weights

How users run it

Google Colab (recommended)

Open the Colab link, copy to Drive, and run cells.

Locally

pip install "tracebloc[pytorch]>=0.8.1"
jupyter notebook notebooks/traceblocTrainingGuide.ipynb

Prerequisites

  • A tracebloc account
  • An active use case with a dataset
  • A model file (from the model-zoo repo or custom)

Key dependency

tracebloc (PyPI, 0.8.x+) -- the Python SDK used in the notebook to authenticate, upload models, and start training.

Was published as tracebloc_package before 0.8.0. The old install command (pip install tracebloc_package) still resolves via a metadata-only redirect on PyPI, but new notebooks should use the canonical tracebloc name.