
# distilbert-base-uncased-agnews-student

## Model Description

This model is distilled from the zero-shot classification pipeline on the unlabeled AG's News dataset using [this
script](https://github.com/huggingface/transformers/tree/master/examples/research_projects/zero-shot-distillation).
It is the result of the demo notebook
[here](https://colab.research.google.com/drive/1mjBjd0cR8G57ZpsnFCS3ngGyo5nCa9ya?usp=sharing), where more details
about the model can be found.

- Teacher model: [roberta-large-mnli](https://huggingface.co/roberta-large-mnli)
- Teacher hypothesis template: `"This text is about {}."`

## Intended Usage

The model can be used like any other model trained on AG's News, but will likely not perform as well as a model
trained with full supervision. It is primarily intended as a demo of how an expensive NLI-based zero-shot model
can be distilled to a more efficient student.

{"language": "en", "license": "mit", "tags": ["text-classification", "pytorch", "tensorflow"], "datasets": ["ag_news"], "widget": [{"text": "Armed conflict has been a near-constant policial and economic burden."}, {"text": "Tom Brady won his seventh Super Bowl last night."}, {"text": "Dow falls more than 100 points after disappointing jobs data"}, {"text": "A new moon has been discovered in Jupter's orbit."}]}
transformers pytorch tf distilbert text-classification tensorflow en dataset:ag_news license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #distilbert #text-classification #tensorflow #en #dataset-ag_news #license-mit #autotrain_compatible #endpoints_compatible #region-us 


# distilbert-base-uncased-agnews-student

## Model Description

This model is distilled from the zero-shot classification pipeline on the unlabeled AG's News dataset using this
script.
It is the result of the demo notebook
here, where more details
about the model can be found.

- Teacher model: roberta-large-mnli
- Teacher hypothesis template: '"This text is about {}."'

## Intended Usage

The model can be used like any other model trained on AG's News, but will likely not perform as well as a model
trained with full supervision. It is primarily intended as a demo of how an expensive NLI-based zero-shot model
can be distilled to a more efficient student.

# distilbert-base-uncased-agnews-student ## Model Description

This model is distilled from the zero-shot classification pipeline on the unlabeled AG's News dataset using this
script.
It is the result of the demo notebook
here, where more details
about the model can be found.

- Teacher model: roberta-large-mnli
- Teacher hypothesis template: '"This text is about {}."' ## Intended Usage

The model can be used like any other model trained on AG's News, but will likely not perform as well as a model
trained with full supervision. It is primarily intended as a demo of how an expensive NLI-based zero-shot model
can be distilled to a more efficient student.
TAGS
#transformers #pytorch #tf #distilbert #text-classification #tensorflow #en #dataset-ag_news #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # distilbert-base-uncased-agnews-student ## Model Description

This model is distilled from the zero-shot classification pipeline on the unlabeled AG's News dataset using this
script.
It is the result of the demo notebook
here, where more details
about the model can be found.

- Teacher model: roberta-large-mnli
- Teacher hypothesis template: '"This text is about {}."' ## Intended Usage

The model can be used like any other model trained on AG's News, but will likely not perform as well as a model
trained with full supervision. It is primarily intended as a demo of how an expensive NLI-based zero-shot model
can be distilled to a more efficient student.
passage: TAGS
#transformers #pytorch #tf #distilbert #text-classification #tensorflow #en #dataset-ag_news #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# distilbert-base-uncased-agnews-student## Model Description

This model is distilled from the zero-shot classification pipeline on the unlabeled AG's News dataset using this
script.
It is the result of the demo notebook
here, where more details
about the model can be found.

- Teacher model: roberta-large-mnli
- Teacher hypothesis template: '"This text is about {}."'## Intended Usage

The model can be used like any other model trained on AG's News, but will likely not perform as well as a model
trained with full supervision. It is primarily intended as a demo of how an expensive NLI-based zero-shot model
can be distilled to a more efficient student.