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tner-xlm-roberta-large-multiconer-multi-adapter
asahi417/tner-xlm-roberta-large-multiconer-multi-adapter
tner-xlm-roberta-large-multiconer-multi-adapter is a machine learning model from asahi417. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for adapter-transformers.
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.
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At a glance
- Library
- adapter-transformers
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 26, 2022
- SHA
- 95da8bec
Datasets
Model card
From the Hugging Face model README
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
<!-- Add some description here -->Evaluation results
<!-- Add some description here -->Citation
<!-- Add some description here -->- Library
- adapter-transformers
- Created
- Mar 2, 2022
- Updated
- Jan 26, 2022