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pfeiffer_adapter_classification_trained
jgrc3/pfeiffer_adapter_classification_trained
pfeiffer_adapter_classification_trained is a machine learning model from jgrc3. 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 roberta-base model that was trained on the BigTMiami/amazonhelpfulness dataset and includes a prediction head for classification.
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At a glance
- Library
- adapter-transformers
- Access
- Public
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024
- SHA
- d7856d19
Datasets
Model card
From the Hugging Face model README
Adapter jgrc3/pfeiffer_adapter_classification_trained for roberta-base
An adapter for the roberta-base model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
Usage
First, install adapters:
pip install -U adapters
Now, the adapter can be loaded and activated like this:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("roberta-base")
adapter_name = model.load_adapter("jgrc3/pfeiffer_adapter_classification_trained", 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
- Apr 13, 2024
- Updated
- Apr 13, 2024