Instructions to use evilfreelancer/moa-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use evilfreelancer/moa-classification with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("evilfreelancer/moa-classification", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Verified signature# Attempt to reproduce Mixture-of-LoRAs classifier Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models https://arxiv.org/pdf/2403.03432 ## Datasets We evenly sample about 10k training data and 2k validation data on each dataset. From `laion/OIG` was taken only: - unified_merged_code_xp3.jsonl - unified_grade_school_math_instructions.jsonl - unified_mathqa_flanv2_kojma_cot.jsonl2bd18ba -
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