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bert-base-multilingual-cased-wmt21-qe
Gregor/bert-base-multilingual-cased-wmt21-qe
bert-base-multilingual-cased-wmt21-qe is a machine learning model from Gregor. 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 bert-base-multilingual-cased model that was trained on the qualityestimation/wmt21 dataset and includes a prediction head for classification.
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At a glance
- Library
- adapter-transformers
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 13, 2021
- SHA
- d15803f6
Model card
From the Hugging Face model README
Adapter Gregor/bert-base-multilingual-cased-wmt21-qe for bert-base-multilingual-cased
An adapter for the bert-base-multilingual-cased model that was trained on the quality_estimation/wmt21 dataset and includes a prediction head for classification.
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("bert-base-multilingual-cased")
adapter_name = model.load_adapter("Gregor/bert-base-multilingual-cased-wmt21-qe")
model.active_adapters = adapter_name
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
- Sep 13, 2021