
# maptask-deberta-pair
Deberta-based Daily MapTask style dialog-act annotations classification model

## Example

```python
from simpletransformers.classification import (
    ClassificationModel, ClassificationArgs
)

model = ClassificationModel("deberta", "diwank/maptask-deberta-pair")

predictions, raw_outputs = model.predict([["Say what is the meaning of life?", "I dont know"]])

convert_to_label = lambda n: ["acknowledge (0), align (1), check (2), clarify (3), explain (4), instruct (5), query_w (6), query_yn (7), ready (8), reply_n (9), reply_w (10), reply_y (11)".split(', ')[i] for i in n]

convert_to_label(predictions) # reply_n (9)
```
{"license": "mit"}
transformers pytorch tf deberta text-classification license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #deberta #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 


# maptask-deberta-pair
Deberta-based Daily MapTask style dialog-act annotations classification model

## Example


# maptask-deberta-pair
Deberta-based Daily MapTask style dialog-act annotations classification model ## Example
TAGS
#transformers #pytorch #tf #deberta #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # maptask-deberta-pair
Deberta-based Daily MapTask style dialog-act annotations classification model ## Example
passage: TAGS
#transformers #pytorch #tf #deberta #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# maptask-deberta-pair
Deberta-based Daily MapTask style dialog-act annotations classification model## Example