Downloads · 30 days
1
10% of all-time downloads
E_adapter_seq_bn_inv_classification_P_20_to_C_30
BigTMiami/E_adapter_seq_bn_inv_classification_P_20_to_C_30
E_adapter_seq_bn_inv_classification_P_20_to_C_30 is a machine learning model from BigTMiami. 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.
All-time downloads
10
Public
Repo size
7.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin7.2 MB · 100%
At a glance
- Library
- adapter-transformers
- Access
- Public
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024
- SHA
- ccd19b02
Datasets
Model card
From the Hugging Face model README
Adapter BigTMiami/E_adapter_seq_bn_inv_classification_P_20_to_C_30 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("BigTMiami/E_adapter_seq_bn_inv_classification_P_20_to_C_30", 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