Adapter asahi417/tner-xlm-roberta-large-multiconer-multi-adapter for xlm-roberta-large

An adapter for the xlm-roberta-large model that was trained on the named-entity-recognition/multiconer dataset and includes a prediction head for tagging.

This adapter was created for usage with the adapter-transformers library.

Usage

First, install adapter-transformers:

pip install -U adapter-transformers

Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. More

Now, the adapter can be loaded and activated like this:

from transformers import AutoModelWithHeads

model = AutoModelWithHeads.from_pretrained("xlm-roberta-large")
adapter_name = model.load_adapter("asahi417/tner-xlm-roberta-large-multiconer-multi-adapter", source="hf", set_active=True)

Architecture & Training

Evaluation results

Citation