You can deploy this model and start earning money today!

domadapter/
ts_dt_books_baby

Name: ts_dt_books_baby
Availability: InStock

Views

No views yet

Adapter `domadapter/ts_dt_books_baby` for bert-base-uncased

An adapter for the bert-base-uncased model that was trained on the sentiment/amazon 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:

python

from transformers import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("bert-base-uncased")
adapter_name = model.load_adapter("domadapter/ts_dt_books_baby", source="hf", set_active=True)

domadapter/
ts_dt_books_baby

Adapter `domadapter/ts_dt_books_baby` for bert-base-uncased

Usage

Architecture & Training

Evaluation results

Citation

domadapter/ts_dt_books_baby

Adapter domadapter/ts_dt_books_baby for bert-base-uncased

Usage

Architecture & Training

Evaluation results

Citation

domadapter/
ts_dt_books_baby

Adapter `domadapter/ts_dt_books_baby` for bert-base-uncased