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Title: transformers/examples at v2.5.1 · huggingface/transformers · GitHub

Open Graph Title: transformers/examples at v2.5.1 · huggingface/transformers

X Title: transformers/examples at v2.5.1 · huggingface/transformers

Description: 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - transformers/examples at v2.5.1 · huggingface/transformers

Open Graph Description: 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - huggingface/transformers

X Description: 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - huggingface/transformers

Opengraph URL: https://github.com/huggingface/transformers/tree/v2.5.1/examples

X: @github

direct link

Domain: github.com

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og:image:alt🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - huggingface/transformers
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https://github.com/huggingface/transformers
transformershttps://github.com/huggingface/transformers/tree/v2.5.1
Historyhttps://github.com/huggingface/transformers/commits/v2.5.1/examples
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README.mdhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/README.md
README.mdhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/README.md
benchmarks.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/benchmarks.py
benchmarks.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/benchmarks.py
requirements.txthttps://github.com/huggingface/transformers/blob/v2.5.1/examples/requirements.txt
requirements.txthttps://github.com/huggingface/transformers/blob/v2.5.1/examples/requirements.txt
run_bertology.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_bertology.py
run_bertology.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_bertology.py
run_generation.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_generation.py
run_generation.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_generation.py
run_glue.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_glue.py
run_glue.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_glue.py
run_language_modeling.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_language_modeling.py
run_language_modeling.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_language_modeling.py
run_multiple_choice.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_multiple_choice.py
run_multiple_choice.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_multiple_choice.py
run_squad.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_squad.py
run_squad.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_squad.py
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run_tf_glue.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_tf_glue.py
run_xnli.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_xnli.py
run_xnli.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/run_xnli.py
test_examples.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/test_examples.py
test_examples.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/test_examples.py
utils_multiple_choice.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/utils_multiple_choice.py
utils_multiple_choice.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples/utils_multiple_choice.py
README.mdhttps://github.com/huggingface/transformers/tree/v2.5.1/examples#readme
https://github.com/huggingface/transformers/tree/v2.5.1/examples#examples
TensorFlow 2.0 models on GLUEhttps://github.com/huggingface/transformers/tree/v2.5.1/examples#TensorFlow-2.0-Bert-models-on-GLUE
Language Model traininghttps://github.com/huggingface/transformers/tree/v2.5.1/examples#language-model-training
Language Generationhttps://github.com/huggingface/transformers/tree/v2.5.1/examples#language-generation
GLUEhttps://github.com/huggingface/transformers/tree/v2.5.1/examples#glue
SQuADhttps://github.com/huggingface/transformers/tree/v2.5.1/examples#squad
Multiple Choicehttps://github.com/huggingface/transformers/tree/v2.5.1/examples#multiple-choice
Named Entity Recognitionhttps://github.com/huggingface/transformers/tree/v2.5.1/examples#named-entity-recognition
XNLIhttps://github.com/huggingface/transformers/tree/v2.5.1/examples#xnli
Adversarial evaluation of model performanceshttps://github.com/huggingface/transformers/tree/v2.5.1/examples#adversarial-evaluation-of-model-performances
https://github.com/huggingface/transformers/tree/v2.5.1/examples#tensorflow-20-bert-models-on-glue
run_tf_glue.pyhttps://github.com/huggingface/transformers/blob/master/examples/run_tf_glue.py
General Language Understanding Evaluationhttps://gluebenchmark.com/
https://github.com/huggingface/transformers/tree/v2.5.1/examples#language-model-training
run_language_modeling.pyhttps://github.com/huggingface/transformers/blob/master/examples/run_language_modeling.py
WikiText-2 datasethttps://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/
https://github.com/huggingface/transformers/tree/v2.5.1/examples#gpt-2gpt-and-causal-language-modeling
https://github.com/huggingface/transformers/tree/v2.5.1/examples#robertabert-and-masked-language-modeling
https://github.com/huggingface/transformers/tree/v2.5.1/examples#language-generation
run_generation.pyhttps://github.com/huggingface/transformers/blob/master/examples/run_generation.py
Write With Transfomerhttps://transformer.huggingface.co
https://github.com/huggingface/transformers/tree/v2.5.1/examples#glue
run_glue.pyhttps://github.com/huggingface/transformers/blob/master/examples/run_glue.py
General Language Understanding Evaluationhttps://gluebenchmark.com/
FAQ #12https://gluebenchmark.com/faq
GLUE datahttps://gluebenchmark.com/tasks
this scripthttps://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e
https://github.com/huggingface/transformers/tree/v2.5.1/examples#mrpc
https://github.com/huggingface/transformers/tree/v2.5.1/examples#fine-tuning-example
GLUE datahttps://gluebenchmark.com/tasks
this scripthttps://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e
the original implementation hyper- parametershttps://github.com/google-research/bert#sentence-and-sentence-pair-classification-tasks
https://github.com/huggingface/transformers/tree/v2.5.1/examples#using-apex-and-mixed-precision
apexhttps://github.com/NVIDIA/apex
https://github.com/huggingface/transformers/tree/v2.5.1/examples#distributed-training
https://github.com/huggingface/transformers/tree/v2.5.1/examples#mnli
https://github.com/huggingface/transformers/tree/v2.5.1/examples#multiple-choice
run_multiple_choice.pyhttps://github.com/huggingface/transformers/blob/v2.5.1/examples
https://github.com/huggingface/transformers/tree/v2.5.1/examples#fine-tuning-on-swag
swaghttps://github.com/rowanz/swagaf/tree/master/data
https://github.com/huggingface/transformers/tree/v2.5.1/examples#squad
run_squad.pyhttps://github.com/huggingface/transformers/blob/master/examples/run_squad.py
https://github.com/huggingface/transformers/tree/v2.5.1/examples#fine-tuning-bert-on-squad10
train-v1.1.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/train-v1.1.json
dev-v1.1.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v1.1.json
evaluate-v1.1.pyhttps://github.com/allenai/bi-att-flow/blob/master/squad/evaluate-v1.1.py
train-v2.0.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/train-v2.0.json
dev-v2.0.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v2.0.json
evaluate-v2.0.pyhttps://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/
https://github.com/huggingface/transformers/tree/v2.5.1/examples#distributed-training-1
https://github.com/huggingface/transformers/tree/v2.5.1/examples#fine-tuning-xlnet-on-squad
https://github.com/huggingface/transformers/tree/v2.5.1/examples#command-for-squad10
https://github.com/huggingface/transformers/tree/v2.5.1/examples#command-for-squad20
https://github.com/huggingface/transformers/tree/v2.5.1/examples#results-for-squad10-with-the-previously-defined-hyper-parameters
https://github.com/huggingface/transformers/tree/v2.5.1/examples#results-for-squad20-with-the-previously-defined-hyper-parameters
https://github.com/huggingface/transformers/tree/v2.5.1/examples#xnli
run_xnli.pyhttps://github.com/huggingface/transformers/blob/master/examples/run_xnli.py
XNLIhttps://www.nyu.edu/projects/bowman/xnli/
MultiNLIhttp://www.nyu.edu/projects/bowman/multinli/
https://github.com/huggingface/transformers/tree/v2.5.1/examples#fine-tuning-on-xnli
XNLI 1.0https://www.nyu.edu/projects/bowman/xnli/XNLI-1.0.zip
XNLI-MT 1.0https://www.nyu.edu/projects/bowman/xnli/XNLI-MT-1.0.zip
https://github.com/huggingface/transformers/tree/v2.5.1/examples#mm-imdb
run_mmimdb.pyhttps://github.com/huggingface/transformers/blob/master/examples/mm-imdb/run_mmimdb.py
MM-IMDbhttp://lisi1.unal.edu.co/mmimdb/
https://github.com/huggingface/transformers/tree/v2.5.1/examples#training-on-mm-imdb
https://github.com/huggingface/transformers/tree/v2.5.1/examples#adversarial-evaluation-of-model-performances
McCoy et al., 2019https://arxiv.org/abs/1902.01007
Nafise Sadat Moosavihttps://github.com/ns-moosavi
this locationhttps://github.com/tommccoy1/hans
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