-
Notifications
You must be signed in to change notification settings - Fork 42
/
bert-base-multilingual-cased_wikiann_ner_zh_pfeiffer.yaml
97 lines (81 loc) 路 4.15 KB
/
bert-base-multilingual-cased_wikiann_ner_zh_pfeiffer.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
# 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: zh
# 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/zh/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_zh1_pfeiffer.zip
sha1: 0c32610bc88cdba0b4308c45f5c31bb85ed8175b
sha256: dcef604e008c190d63e6434cb5adef7234d1dea9729a3f55483084b5b527fc71
- version: '2'
url: https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/wikiann_ner/zh/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_zh2_pfeiffer.zip
sha1: 4ed4951eff55e3603b802f16601b4acd043ecfe4
sha256: 48e9eef986c6b91ef22ae7fcfa7441c1f6c9d0e8a000ea9a0a5d03999956dce9
- version: '3'
url: https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/wikiann_ner/zh/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_zh3_pfeiffer.zip
sha1: 918ee0f0f18c1a750d82ab45b62b54061a6de291
sha256: 89e8c49bb9e9b29ddb7026377eda1c8b42163914ceeaefc837e87829d4ed593d
- version: '4'
url: https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/wikiann_ner/zh/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_zh4_pfeiffer.zip
sha1: 64a39eae25b2f90362930cd9cec1304075aa546b
sha256: 20d0fa4b3675dbb6b5d3d551b8808d50c5e43cabb23f2c46779cb5db498ee06a
- version: '5'
url: https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/wikiann_ner/zh/bert-base-multilingual-cased/pfeiffer/bert-base-multilingual-cased_wikiann_ner_zh5_pfeiffer.zip
sha1: 3e0001fa87d951428be15d892eb653e721ad2502
sha256: d3eab6fd85abecba91dd8d65e92c064a7cc24e437858fa26255a47d21ea08acd
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: 'zh/wiki@ukp'
# (optional) A short description how this adapter is dependent.
description: 'Adapter stacked on top of language adapter. Pre-trained with Japanese 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