pytorch-model-recovery
Guidance for recovering PyTorch model architectures from state dictionaries, retraining specific layers, and saving models in TorchScript format. This skill should be used when tasks involve reconstructing model architectures from saved weights, fine-tuning specific layers while freezing others, or converting models to TorchScript format.
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Installation for Agentic Skill
View all platforms →skilz install letta-ai/skills/pytorch-model-recoveryskilz install letta-ai/skills/pytorch-model-recovery --agent opencodeskilz install letta-ai/skills/pytorch-model-recovery --agent codexskilz install letta-ai/skills/pytorch-model-recovery --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/letta-ai/skillscp -r skills/ai/benchmarks/letta/terminal-bench-2/trajectory-feedback/pytorch-model-recovery ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- skills
- Stars
- 13
- Forks
- 1
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Market Score
- 21
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