# Model Description
This checkpoint is a direct conversion of [BERT_Large_trained_on_MSMARCO.zip](https://drive.google.com/open?id=1crlASTMlsihALlkabAQP6JTYIZwC1Wm8) from the original [repo](https://github.com/nyu-dl/dl4marco-bert/).
The corresponding model class is BertForSequenceClassification, and its purpose is for MS MARCO passage ranking.
Please find the original repo for more detail of its training settings regarding hyperparameter/device/data.
{}
transformers pytorch jax bert text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

# Model Description
This checkpoint is a direct conversion of BERT_Large_trained_on_MSMARCO.zip from the original repo.
The corresponding model class is BertForSequenceClassification, and its purpose is for MS MARCO passage ranking.
Please find the original repo for more detail of its training settings regarding hyperparameter/device/data.
# Model Description
This checkpoint is a direct conversion of BERT_Large_trained_on_MSMARCO.zip from the original repo.
The corresponding model class is BertForSequenceClassification, and its purpose is for MS MARCO passage ranking.
Please find the original repo for more detail of its training settings regarding hyperparameter/device/data.
TAGS
#transformers #pytorch #jax #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
 # Model Description
This checkpoint is a direct conversion of BERT_Large_trained_on_MSMARCO.zip from the original repo.
The corresponding model class is BertForSequenceClassification, and its purpose is for MS MARCO passage ranking.
Please find the original repo for more detail of its training settings regarding hyperparameter/device/data.
passage: TAGS
#transformers #pytorch #jax #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
# Model Description
This checkpoint is a direct conversion of BERT_Large_trained_on_MSMARCO.zip from the original repo.
The corresponding model class is BertForSequenceClassification, and its purpose is for MS MARCO passage ranking.
Please find the original repo for more detail of its training settings regarding hyperparameter/device/data.