ylem 0.2.1

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ylem

Minimal package scaffold with a public Cleaner API.

Usage

import ylem

cleaner = ylem.Cleaner("nano")  # or "large" or an HF repo id
text = "some content from the internet"
markdown = cleaner(text)  # returns generated text

Notes

• Backend: This uses transformers for a text-generation pipeline. Install a backend like PyTorch.
• Models: Aliases map to Hugging Face IDs:
  • "nano" -> google/gemma-3-270m-it
  • "large" -> google/gemma-3-270m-it (override via env YLEM_MODEL_LARGE)
• Env overrides: Set YLEM_MODEL_NANO or YLEM_MODEL_LARGE to point to a different repo id.
• Chat template: If the tokenizer provides one, it’s applied with a simple system+user message; otherwise the raw text is used directly.
• Default generation: max_new_tokens=2048, and we request only generated continuation (not prompt) from the pipeline.
• Python: Requires Python 3.12+.