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Start from a template

A published model, reproduced exactly, then sized to your needs.

  1. 1Open Templates and choose a model: each is rebuilt from its official configuration, its size checked against PyTorch.
  2. 2Read its card, then Load it onto the canvas (or Clone it to keep the original as it is).
  3. 3In Hyperparameters, set what the run uses — sequence length, batch — and Apply to Environment.
  4. 4Make it smaller by its values, not by removing blocks: fewer layers, a narrower width, fewer heads keep the same architecture.
1 — a published model to start from, here DistilBERT-base.
1 — the length of a text the model reads. 2 — samples per step. 3 — Apply: the analysis follows.

Page 7 of 33. This guide is in English for now. It is the same guide that is built into the NEURAX desktop app (the ? button, or F1). Found a mistake? Tell us.