Downloads · 30 days
0
0% of all-time downloads
MBERT_uncased_double_seq_bn_HuberLoss_20241126-062317
jslai/MBERT_uncased_double_seq_bn_HuberLoss_20241126-062317
MBERT_uncased_double_seq_bn_HuberLoss_20241126-062317 is a machine learning model from jslai. 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 google-bert/bert-base-multilingual-uncased model that was trained on the None dataset and includes a prediction head for classification.
All-time downloads
10
Public
Repo size
9.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin9.6 MB · 100%
At a glance
- Library
- adapter-transformers
- Access
- Public
- Created
- Nov 26, 2024
- Updated
- Nov 26, 2024
- SHA
- 54cb29f3
Model card
From the Hugging Face model README
Adapter jslai/MBERT_uncased_double_seq_bn_HuberLoss_20241126-062317 for google-bert/bert-base-multilingual-uncased
An adapter for the google-bert/bert-base-multilingual-uncased model that was trained on the None 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("google-bert/bert-base-multilingual-uncased")
adapter_name = model.load_adapter("jslai/MBERT_uncased_double_seq_bn_HuberLoss_20241126-062317", 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 26, 2024
- Updated
- Nov 26, 2024