Instructions to use jeongyoun/mathbridge_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use jeongyoun/mathbridge_adapter with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-uncased") model.load_adapter("jeongyoun/mathbridge_adapter", set_active=True) - Notebooks
- Google Colab
- Kaggle
Adapter jeongyoun/mathbridge_adapter for bert-base-uncased
An adapter for the bert-base-uncased model that was trained on the mathbridge-bert-adapter-seq dataset and includes a prediction head for tagging.
This adapter was created for usage with the Adapters library.
Usage
First, install adapters:
pip install -U adapters
Now, the adapter can be loaded and activated like this:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("bert-base-uncased")
adapter_name = model.load_adapter("jeongyoun/mathbridge_adapter", set_active=True)
Architecture & Training
Evaluation results
Citation
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