2 Commits

Author	SHA1	Message	Date
darkpowerxo	caddef1db8	refactor: replace custom PEFT pipeline with Transformers+PEFT example ... Remove the custom peft/ directory (LoRA/DoRA adapters, trainer, data pipeline) in favor of a lightweight fine-tuning example that uses the standard HuggingFace Transformers + PEFT ecosystem. The new example at timesfm-forecasting/examples/finetuning/ demonstrates LoRA fine-tuning via TimesFm2_5ModelForPrediction and the peft library, based on the approach by @kashif at HuggingFace. - Remove peft/ (8 files) - Add timesfm-forecasting/examples/finetuning/finetune_lora.py - Add timesfm-forecasting/examples/finetuning/README.md - Update README.md to reference new example - Clean up .gitignore (remove peft_checkpoints/)	2026-04-09 11:29:40 -04:00
Clayton Young	a83dbf3f16	refactor(skill): replace claude-specific dirs with agentskills.io standard ... Replace AGENTS.md / claude-skill/ with a proper agentskills.io-compliant skill directory. Any AI agent that supports the open Agent Skills standard (Claude Code, OpenCode, Cursor, Codex, etc.) can now install and use this skill generically. Changes: - Remove AGENTS.md (was Claude-specific convention) - Remove claude-skill/ directory (was Claude-specific naming) - Add timesfm-forecasting/SKILL.md with compliant frontmatter: name: timesfm-forecasting description: ... license: Apache-2.0 metadata: author, version - Rename claude-skill/examples/ → timesfm-forecasting/examples/ - Rename claude-skill/scripts/ → timesfm-forecasting/scripts/ - Rename claude-skill/references/ → timesfm-forecasting/references/ - Update .gitattributes paths to match new directory Skill installs via: cp -r timesfm-forecasting/ ~/.claude/skills/ cp -r timesfm-forecasting/ ~/.cursor/skills/ # or any agent that supports agentskills.io Spec: https://agentskills.io/specification	2026-02-22 13:35:05 -05:00