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Title: GitHub - KevinWCCC/transformers: 🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. · GitHub

Open Graph Title: GitHub - KevinWCCC/transformers: 🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

X Title: GitHub - KevinWCCC/transformers: 🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Description: 🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. - KevinWCCC/transformers

Open Graph Description: 🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. - KevinWCCC/transformers

X Description: 🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. - KevinWCCC/transformers

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Installationhttps://github.com/KevinWCCC/transformers#installation
Model architectureshttps://github.com/KevinWCCC/transformers#model-architectures
Online demohttps://github.com/KevinWCCC/transformers#online-demo
Quick tour: Usagehttps://github.com/KevinWCCC/transformers#quick-tour
Quick tour: TF 2.0 and PyTorch https://github.com/KevinWCCC/transformers#Quick-tour-TF-20-training-and-PyTorch-interoperability
Quick tour: pipelineshttps://github.com/KevinWCCC/transformers#quick-tour-of-pipelines
Quick tour: Fine-tuning/usage scriptshttps://github.com/KevinWCCC/transformers#quick-tour-of-the-fine-tuningusage-scripts
Quick tour: Share your models https://github.com/KevinWCCC/transformers#Quick-tour-of-model-sharing
Migrating from pytorch-transformers to transformershttps://github.com/KevinWCCC/transformers#Migrating-from-pytorch-transformers-to-transformers
Migrating from pytorch-pretrained-bert to pytorch-transformershttps://github.com/KevinWCCC/transformers#Migrating-from-pytorch-pretrained-bert-to-transformers
(v2.5.0)https://huggingface.co/transformers/v2.5.0
(v2.4.0/v2.4.1)https://huggingface.co/transformers/v2.4.0
(v2.3.0)https://huggingface.co/transformers/v2.3.0
(v2.2.0/v2.2.1/v2.2.2)https://huggingface.co/transformers/v2.2.0
(v2.1.1)https://huggingface.co/transformers/v2.1.1
(v2.0.0)https://huggingface.co/transformers/v2.0.0
(v1.2.0)https://huggingface.co/transformers/v1.2.0
(v1.1.0)https://huggingface.co/transformers/v1.1.0
(v1.0.0)https://huggingface.co/transformers/v1.0.0
(master)https://huggingface.co/transformers
https://github.com/KevinWCCC/transformers#installation
virtual environmenthttps://docs.python.org/3/library/venv.html
user guidehttps://packaging.python.org/guides/installing-using-pip-and-virtual-environments/
https://github.com/KevinWCCC/transformers#with-pip
TensorFlow installation pagehttps://www.tensorflow.org/install/pip#tensorflow-2.0-rc-is-available
PyTorch installation pagehttps://pytorch.org/get-started/locally/#start-locally
https://github.com/KevinWCCC/transformers#from-source
TensorFlow installation pagehttps://www.tensorflow.org/install/pip#tensorflow-2.0-rc-is-available
PyTorch installation pagehttps://pytorch.org/get-started/locally/#start-locally
https://github.com/KevinWCCC/transformers#run-the-examples
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https://github.com/KevinWCCC/transformers#tests
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examples folderhttps://github.com/huggingface/transformers/tree/master/examples
contributing guidehttps://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#tests
https://github.com/KevinWCCC/transformers#do-you-want-to-run-a-transformer-model-on-a-mobile-device
swift-coreml-transformershttps://github.com/huggingface/swift-coreml-transformers
https://github.com/KevinWCCC/transformers#model-architectures
BERThttps://github.com/google-research/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understandinghttps://arxiv.org/abs/1810.04805
GPThttps://github.com/openai/finetune-transformer-lm
Improving Language Understanding by Generative Pre-Traininghttps://blog.openai.com/language-unsupervised/
GPT-2https://blog.openai.com/better-language-models/
Language Models are Unsupervised Multitask Learnershttps://blog.openai.com/better-language-models/
Transformer-XLhttps://github.com/kimiyoung/transformer-xl
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Contexthttps://arxiv.org/abs/1901.02860
XLNethttps://github.com/zihangdai/xlnet/
​XLNet: Generalized Autoregressive Pretraining for Language Understandinghttps://arxiv.org/abs/1906.08237
XLMhttps://github.com/facebookresearch/XLM/
Cross-lingual Language Model Pretraininghttps://arxiv.org/abs/1901.07291
RoBERTahttps://github.com/pytorch/fairseq/tree/master/examples/roberta
Robustly Optimized BERT Pretraining Approachhttps://arxiv.org/abs/1907.11692
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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterhttps://arxiv.org/abs/1910.01108
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CTRLhttps://github.com/salesforce/ctrl/
CTRL: A Conditional Transformer Language Model for Controllable Generationhttps://arxiv.org/abs/1909.05858
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CamemBERT: a Tasty French Language Modelhttps://arxiv.org/abs/1911.03894
ALBERThttps://github.com/google-research/ALBERT
ALBERT: A Lite BERT for Self-supervised Learning of Language Representationshttps://arxiv.org/abs/1909.11942
T5https://github.com/google-research/text-to-text-transfer-transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformerhttps://arxiv.org/abs/1910.10683
XLM-RoBERTahttps://github.com/pytorch/fairseq/tree/master/examples/xlmr
Unsupervised Cross-lingual Representation Learning at Scalehttps://arxiv.org/abs/1911.02116
MMBThttps://github.com/facebookresearch/mmbt/
Supervised Multimodal Bitransformers for Classifying Images and Texthttps://arxiv.org/pdf/1909.02950.pdf
FlauBERThttps://github.com/getalp/Flaubert
FlauBERT: Unsupervised Language Model Pre-training for Frenchhttps://arxiv.org/abs/1912.05372
Other community modelshttps://huggingface.co/models
communityhttps://huggingface.co/users
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contributing guidelineshttps://github.com/KevinWCCC/transformers/blob/master/CONTRIBUTING.md
documentationhttps://huggingface.co/transformers/examples.html
https://github.com/KevinWCCC/transformers#online-demo
Write With Transformerhttps://transformer.huggingface.co
https://camo.githubusercontent.com/000cc1a3a9c8872cd7a16e4333f91448bdcde4362fdb4cd9b918aef48896c86f/68747470733a2f2f7472616e73666f726d65722e68756767696e67666163652e636f2f66726f6e742f6173736574732f7468756d626e61696c2d6c617267652e706e67
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https://github.com/KevinWCCC/transformers#quick-tour-tf-20-training-and-pytorch-interoperability
https://github.com/KevinWCCC/transformers#quick-tour-of-the-fine-tuningusage-scripts
instructionshttps://github.com/KevinWCCC/transformers#run-the-examples
https://github.com/KevinWCCC/transformers#run_gluepy-fine-tuning-on-glue-tasks-for-sequence-classification
General Language Understanding Evaluation (GLUE) benchmarkhttps://gluebenchmark.com/
GLUE datahttps://gluebenchmark.com/tasks
this scripthttps://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e
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https://github.com/KevinWCCC/transformers#fine-tuning-bert-model-on-the-mrpc-classification-task
https://github.com/KevinWCCC/transformers#run_squadpy-fine-tuning-on-squad-for-question-answering
https://github.com/KevinWCCC/transformers#run_generationpy-text-generation-with-gpt-gpt-2-ctrl-transformer-xl-and-xlnet
trickshttps://github.com/rusiaaman/XLNet-gen#methodology
https://github.com/KevinWCCC/transformers#quick-tour-of-model-sharing
https://huggingface.co/joinhttps://huggingface.co/join
https://github.com/KevinWCCC/transformers#quick-tour-of-pipelines
https://github.com/KevinWCCC/transformers#migrating-from-pytorch-transformers-to-transformers
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documentationhttps://huggingface.co/transformers/
https://github.com/KevinWCCC/transformers#using-hidden-states
https://github.com/KevinWCCC/transformers#serialization
#866https://github.com/huggingface/transformers/pull/866
https://github.com/KevinWCCC/transformers#optimizers-bertadam--openaiadam-are-now-adamw-schedules-are-standard-pytorch-schedules
PyTorch learning rate schedulershttps://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
https://github.com/KevinWCCC/transformers#citation
huggingface.co/transformershttps://huggingface.co/transformers
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Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.