Skip to content
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Go to file
Cannot retrieve contributors at this time
# Adapter-Hub adapter entry
# Defines a single adapter entry in Adapter-Hub
# --------------------
# The type of adapter (one of the options available in `adapter_type`.
type: text_task
# The string identifier of the task this adapter belongs to.
task: sentiment
# The string identifier of the subtask this adapter belongs to.
subtask: sst-2
# The model type.
# Example: bert
model_type: bert
# The string identifier of the pre-trained model (by which it is identified at Huggingface).
# Example: bert-base-uncased
model_name: bert-base-uncased
# The name of the author(s) of this adapter.
author: Clifton Poth
# Describes the adapter architecture used by this adapter
config: # TODO: REQUIRED
# The name of the adapter config used by this adapter (a short name available in the `architectures` folder).
# Example: pfeiffer
using: pfeiffer
default_version: '1'
# A list of different versions of this adapter available for download.
- version: '1'
url: ""
sha1: fcf8d1a39235e6ea3bbb40f186ef7cd81712cee2
sha256: 7c1009209ec99f58efd2c96eb8a211e48c164e4ea9b31fe5d93e11ddb17fd7e7
citation: |
title={AdapterHub: A Framework for Adapting Transformers},
author={Jonas Pfeiffer and
Andreas R\"uckl\'{e} and
Clifton Poth and
Aishwarya Kamath and
Ivan Vuli\'{c} and
Sebastian Ruder and
Kyunghyun Cho and
Iryna Gurevych},
journal={arXiv preprint},
# A short description of this adapter.
description: |
Adapter in Pfeiffer architecture trained on the binary SST task for 20 epochs with early stopping and a learning rate of 1e-4.
# A contact email of the author(s).
# A GitHub handle associated with the author(s).
github: calpt
# The name of the model class from which this adapter was extracted. This field is mainly intended for adapters with prediction heads.
# Example: BertModelWithHeads
model_class: BertForSequenceClassification
# A Twitter handle associated with the author(s).
twitter: clifapt
# A URL providing more information on this adapter/ the authors/ the organization.
prediction_head: true