Quiz · 8 questions
🎓 Transfer Learning & Hugging Face
Pretrained weights, frozen layers, LoRA. Fine-tuning is now a tool, not a ritual.
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Quiz
01What is the difference between feature extraction and full fine-tuning?
02What is the modern way to load pretrained torchvision models?
03Which AutoModel class would you use for fine-tuning a multi-class text classifier?
04What does LoRA do?
05Why do you call
weights.transforms() when using a pretrained model?06When fine-tuning a Transformer, the bias and LayerNorm parameters typically have...
Hint
Which parameters does L2 regularization meaningfully apply to?
07What's the main practical advantage of LoRA adapters being small (a few MB)?
08Where is PyTorch's modern quantization tooling living?
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