GitHub topics: prefix-tuning
allenai/smashed
SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.
Language: Python - Size: 4.56 MB - Last synced at: 9 days ago - Pushed at: 12 months ago - Stars: 33 - Forks: 3
yuchengml/Adaptation-Tuning-PEFT
Comparison of different adaptation methods on PEFT for fine-tuning downstream tasks or benchmarks.
Language: Python - Size: 130 KB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
jarjumarvin/bachelor_thesis
Repisotory to accompany my bachelor thesis titled "Syntactic Constituency Parsing with Efficient Fine-Tuning Methods for T5 in Few-Shot Settings"
Language: Jupyter Notebook - Size: 86.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
lucalila/fishpal
Master Thesis on "Comparing Modular Approaches for Parameter-Efficient Fine-Tuning"
Language: Python - Size: 9.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
rinnakk/prefix-tuning-gpt
Example code for prefix-tuning GPT/GPT-NeoX models and for inference with trained prefixes
Language: Python - Size: 217 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
davidvos/prefix-tuning-for-data-management
Parameter-efficient automation of data wrangling tasks with prefix-tuning and the T5 language model.
Language: Python - Size: 8.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
