transformers-supporter

Transformers supporter

Project description

https://pypi.org/project/transformers-supporter

pip install transformers-supporter

Supported models

import transformers_supporter
transformers_supporter.register_auto()
  
#ANN
transformers_supporter.models.AnnConfig
transformers_supporter.models.AnnForTabularRegression
transformers_supporter.models.AnnForTabularBinaryClassification
transformers_supporter.models.AnnForTabularClassification
transformers_supporter.models.TabularFeatureExtractor

#CNN
transformers_supporter.models.CnnConfig
transformers_supporter.models.CnnForImageClassification
transformers_supporter.models.GrayscaleImageProcessor
transformers_supporter.models.CnnForKeyPointDetection

#RNN
transformers_supporter.models.RnnConfig
transformers_supporter.models.RnnForAudioClassification
transformers_supporter.models.RnnForTimeSeriesRegression

#Embedded RNN
transformers_supporter.models.EmbeddedRnnConfig
transformers_supporter.models.EmbeddedRnnForSequenceClassification
transformers_supporter.models.EmbeddedRnnForFixedLengthTranslation
transformers_supporter.models.PretrainedEmbeddedRnnForSequenceClassification
transformers_supporter.models.TorchtextTokenizer

#Embedded 1DCNN
transformers_supporter.models.Embedded1dcnnConfig
transformers_supporter.models.Embedded1dcnnForSequenceClassification

#Faster RCNN
transformers_supporter.models.FasterRcnnConfig
transformers_supporter.models.FasterRcnnForObjectDetection
transformers_supporter.models.FasterRcnnImageProcessor

import transformers_supporter

#Custom Bert
transformers_supporter.models.CustomBertConfig
transformers_supporter.models.CustomBertForSequenceClassification

#Custom Wav2Vec2
transformers_supporter.models.CustomWav2Vec2FeatureExtractor

Supported pipelines

import transformers_supporter
transformers_supporter.register_pipeline()
  
transformers_supporter.pipelines.FixedLengthTranslationPipeline
transformers_supporter.pipelines.TabularBinaryClassificationPipeline
transformers_supporter.pipelines.TabularClassificationPipeline
transformers_supporter.pipelines.TabularRegressionPipeline

import transformers_supporter

transformers_supporter.pipelines.CustomImageClassificationPipeline

Project details

Release history Release notifications | RSS feed

0.0.36

Jul 1, 2023

0.0.35

Jun 28, 2023

0.0.34

Jun 27, 2023

0.0.33

Jun 27, 2023

0.0.32

Jun 25, 2023

0.0.31

Jun 24, 2023

0.0.30

Jun 24, 2023

0.0.29

Jun 24, 2023

0.0.28

Jun 23, 2023

0.0.27

Jun 23, 2023

0.0.26

Jun 23, 2023

0.0.25

Jun 23, 2023

0.0.24

Jun 22, 2023

0.0.23

Jun 21, 2023

This version

0.0.22

Jun 17, 2023

0.0.20

Jun 17, 2023

0.0.19

Jun 17, 2023

0.0.18

Jun 17, 2023

0.0.17

Jun 17, 2023

0.0.16

Jun 16, 2023

0.0.15

Jun 16, 2023

0.0.14

Jun 15, 2023

0.0.13

Jun 15, 2023

0.0.12

Jun 13, 2023

0.0.11

Apr 16, 2023

0.0.10

Apr 16, 2023

0.0.9

Apr 16, 2023

0.0.8

Apr 16, 2023

0.0.7

Mar 12, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

transformers-supporter-0.0.22.tar.gz (14.8 kB view details)

Uploaded Jun 17, 2023 Source

Built Distribution

transformers_supporter-0.0.22-py3-none-any.whl (30.1 kB view details)

Uploaded Jun 17, 2023 Python 3

File details

Details for the file transformers-supporter-0.0.22.tar.gz.

File metadata

Download URL: transformers-supporter-0.0.22.tar.gz
Upload date: Jun 17, 2023
Size: 14.8 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for transformers-supporter-0.0.22.tar.gz
Algorithm	Hash digest
SHA256	`89dd812eef357754378d3642c4e2e109bd7d61ea984df8a6a99a23bb902a78b3`
MD5	`26b2564cf4f0addb86ac91f0eb0edcd7`
BLAKE2b-256	`80f01320c73a959d8899f2e4fc01d681c9a425922014724b5f5bb1ea2146f93b`

See more details on using hashes here.

File details

Details for the file transformers_supporter-0.0.22-py3-none-any.whl.

File metadata

Download URL: transformers_supporter-0.0.22-py3-none-any.whl
Upload date: Jun 17, 2023
Size: 30.1 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for transformers_supporter-0.0.22-py3-none-any.whl
Algorithm	Hash digest
SHA256	`0512470af5d39e0a9875c8465a6b663440a4e86fedf48faf55496d23023dd5b6`
MD5	`2508daf47194f42006ad5f3658844265`
BLAKE2b-256	`05dfc74cfdfbaeb453a2b7c68c4c4f7fa227ef423804f57a324cc70984a1a7a1`