
## how to use

```python
from transformers import pipeline, set_seed

path = "akahana/indonesia-emotion-roberta"
emotion = pipeline('text-classification', 
                     model=path,device=0)
set_seed(42)

kalimat = "dia orang yang baik ya bunds."
preds = emotion(kalimat)
preds

[{'label': 'BAHAGIA', 'score': 0.8790940046310425}]

```
{"language": "id", "widget": [{"text": "dia orang yang baik ya bunds."}]}
transformers pytorch tensorboard safetensors roberta text-classification id autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #roberta #text-classification #id #autotrain_compatible #endpoints_compatible #region-us 


## how to use


## how to use
TAGS
#transformers #pytorch #tensorboard #safetensors #roberta #text-classification #id #autotrain_compatible #endpoints_compatible #region-us 
 ## how to use
passage: TAGS
#transformers #pytorch #tensorboard #safetensors #roberta #text-classification #id #autotrain_compatible #endpoints_compatible #region-us 
## how to use