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clickbaitspoiling
intanm/clickbaitspoiling
clickbaitspoiling is a machine learning model from intanm. 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 clickbait-spoiling/webis dataset.
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At a glance
- Library
- adapter-transformers
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023
- SHA
- 4b124b4f
Datasets
Model card
From the Hugging Face model README
Adapter intanm/clickbaitspoiling for bert-base-multilingual-cased
An adapter for the bert-base-multilingual-cased model that was trained on the clickbait-spoiling/webis dataset.
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 AutoAdapterModel
model = AutoAdapterModel.from_pretrained("bert-base-multilingual-cased")
adapter_name = model.load_adapter("intanm/clickbaitspoiling", 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
- Nov 9, 2023
- Updated
- Nov 9, 2023