metadata
tags:
- adapter-transformers
- adapterhub:named-entity-recognition/multiconer
- roberta
datasets:
- multiconer
Adapter asahi417/tner-roberta-large-multiconer-en-adapter for roberta-large
An adapter for the 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("roberta-large")
adapter_name = model.load_adapter("asahi417/tner-roberta-large-multiconer-en-adapter", source="hf", set_active=True)