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bert-base-multilingual-cased_wikiann_ner_ar_pfeiffer.yaml
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bert-base-multilingual-cased_wikiann_ner_ar_pfeiffer.yaml
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# 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: wikiann
# The string identifier of the subtask this adapter belongs to.
subtask: ar
# 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-multilingual-cased
# The name of the author(s) of this adapter.
author: Jonas Pfeiffer
# Describes the adapter architecture used by this adapter
config:
# The name of the adapter config used by this adapter (a short name available in the `architectures` folder).
# Example: pfeiffer
using: pfeiffer
non_linearity: gelu
reduction_factor: 16
default_version: '1'
# A list of different versions of this adapter available for download.
files:
- version: '1'
url: https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/wikiann_ner/ar/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_ar_pfeiffer.zip
sha1: a1919137a2e674823bb4979955ff4af72d5639d0
sha256: d50e6b0382139bb716094bf10c32495c0bdfd7c170c683b72ce857f0ade02e4d
- version: '2'
url: https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/wikiann_ner/ar/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_ar1_pfeiffer.zip
sha1: b08d5ef51ceb666d9772ceaed65548cd7eb05a24
sha256: be5624e2f1612e8fdfa03689c9ea2369332335376e5d15656a095549a24af4d9
- version: '3'
url: https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/wikiann_ner/ar/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_ar2_pfeiffer.zip
sha1: 8bd2470e7e74dd55d841e1342157ec99922696e2
sha256: 2400e68b6507d96cc673132a47964f32e1a83982ce466c32ff3a71e02db09433
- version: '4'
url: https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/wikiann_ner/ar/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_ar3_pfeiffer.zip
sha1: a2595c1f5950ff9d90bf980bbe3b6c6cec3a6c56
sha256: bb849fc308a8384c5e488b21c5327b38a371a374ad8e06bbaf44f152b2438981
- version: '5'
url: https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/wikiann_ner/ar/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_ar4_pfeiffer.zip
sha1: d4648f1ad54b8306eba953334b9eebfe113c4df5
sha256: 0b42e139c91c79a2da543fc973a0cb7c2113715150cc5af3e6d5c5dcca4f63fb
citation: |
@article{Pfeiffer21UNKs,
author = {Jonas Pfeiffer and
Ivan Vuli\'{c} and
Iryna Gurevych and
Sebastian Ruder},
title = {{UNKs Everywhere: Adapting Multilingual Language Models to New Scripts}},
journal = {arXiv preprint},
year = {2021} ,
url = {https://arxiv.org/abs/2012.15562}
}
# (optional) A list of adapters this adapter is dependent on.
dependencies:
# The key (username/filename_without_ext) of the adapter dependency.
# Example: example-org/text_task-sst-bert
- key: 'ar/wiki@ukp'
# (optional) A short description how this adapter is dependent.
description: 'Adapter stacked on top of language adapter. Pre-trained with Arabic language adapter'
# - ...
# (optional) A short description of this adapter.
description: 'Stacked adapter on top of Language adapter. MAD-X 2.0 style. The language adapters in the last layer (layer 11) are deleted.'
# (optional) A contact email of the author(s).
email: Jonas@Pfeiffer.ai
# (optional) A GitHub handle associated with the author(s).
github: JoPfeiff
# (optional) 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: BertForTokenClassification
# (optional) If the adapter has a pre-trained prediction head included.
prediction_head: true
# (optional) A Twitter handle associated with the author(s).
twitter: '@PfeiffJo'
# (optional) A URL providing more information on this adapter/ the authors/ the organization.
url: https://pfeiffer.ai