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Training a TAO PyTorch image classifier v1.0.0
Use this resource to train, distill and export a TAO PyTorch image classifier
New
- 533 downloads
- 118 likes
- 196 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install pytorch-image-classification-trainingWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent writes the training spec from typical overrides, picks the backbone and distillation settings, then guides evaluation, quantization, TensorRT export and inference. You get a classifier ready for deployment and a checked spec.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- references/spec_template_distill.yaml: distillation template
- references/spec_template_export.yaml: export template
- references/skill_info.yaml: skill information
Good fit for
- You classify images with a ResNet or EfficientNet backbone
- You distill a large model into a smaller one for deployment
Not for
Tags
- classification
- PyTorch
- TAO
- distillation
About
You say
“Train an EfficientNet classifier on my 12 product categories and export it to TensorRT.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to train, distill and export a TAO PyTorch image classifier
- Review and adjust the result
Content preview
Files
- BENCHMARK.md7.2 KB
- config/skillspector-baseline.yaml0.8 KB
- evals/evals.json0.8 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/skill_info.yaml7.3 KB
- references/spec_template_deploy_evaluate.yaml0.2 KB
- references/spec_template_deploy_gen_trt_engine.yaml0.2 KB
- references/spec_template_deploy_inference.yaml0.2 KB
- references/spec_template_distill.yaml3.1 KB
- references/spec_template_evaluate.yaml3.3 KB
- references/spec_template_export.yaml3.4 KB
- references/spec_template_gen_trt_engine.yaml3.5 KB
- references/spec_template_inference.yaml3.3 KB
- references/spec_template_quantize.yaml3.1 KB
- references/spec_template_train.yaml3.1 KB
- references/tao-deploy-image-classification.md5.9 KB
- references/tao-deploy-image-classification.skill_info.yaml2.5 KB
- schemas/distill.schema.json63.9 KB
- schemas/evaluate.schema.json67.1 KB
- schemas/export.schema.json68.1 KB
- schemas/gen_trt_engine.schema.json72.1 KB
- schemas/inference.schema.json67.1 KB
- schemas/manifest.json29.3 KB
- schemas/quantize.schema.json64 KB
- schemas/train.schema.json64 KB
- skill-card.md4.3 KB
- SKILL.md14.1 KB
- skill.oms.sig9.9 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-train-image-classification
- Licence
- Apache-2.0
Notice
« tao-train-image-classification » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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