## Definition
This text classification model detects whenever a text has no sense.

## Usage Recommendations
- **max\_length**: 128
- **padding**: "max_length"
- **truncation**: True

## Performance
- **Accuracy**: 99\% 
{}
transformers pytorch distilbert text-classification autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #distilbert #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 

## Definition
This text classification model detects whenever a text has no sense.

## Usage Recommendations
- max\_length: 128
- padding: "max_length"
- truncation: True

## Performance
- Accuracy: 99\% 
## Definition
This text classification model detects whenever a text has no sense. ## Usage Recommendations
- max\_length: 128
- padding: "max_length"
- truncation: True ## Performance
- Accuracy: 99\%
TAGS
#transformers #pytorch #distilbert #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ## Definition
This text classification model detects whenever a text has no sense. ## Usage Recommendations
- max\_length: 128
- padding: "max_length"
- truncation: True ## Performance
- Accuracy: 99\%
passage: TAGS
#transformers #pytorch #distilbert #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us 
## Definition
This text classification model detects whenever a text has no sense.## Usage Recommendations
- max\_length: 128
- padding: "max_length"
- truncation: True## Performance
- Accuracy: 99\%