P-tuning v2 is a deep prompt tuning strategy designed as an alternative to full model fine-tuning.
Open source
24 alternativespeft
vsLightlyTrain
peft vs LightlyTrain
How do peft and LightlyTrain compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | peft | LightlyTrain |
|---|---|---|
| What it is | PEFT provides parameter-efficient fine-tuning methods for adapting pretrained machine learning models. | LightlyTrain supports pretraining, fine-tuning, and distillation for computer vision models. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both peft and LightlyTrain.
oumi supports fine-tuning, evaluation, and deployment of open-weight language models.
Open source
24 alternatives
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Open source
24 alternatives
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
Open source
24 alternatives
Hugging Face Accelerate launches and trains PyTorch models across devices and distributed configurations.
Open source
24 alternatives
FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternatives