How to import:
```python
from transformers import BertForSequenceClassification, BertTokenizer, BertConfig

tokenizer = BertTokenizer.from_pretrained("thoriqfy/indobert-emotion-classification")
config = BertConfig.from_pretrained("thoriqfy/indobert-emotion-classification")
model = BertForSequenceClassification.from_pretrained("thoriqfy/indobert-emotion-classification", config=config)
```

How to use:
```python
from transformers import pipeline

nlp = pipeline("text-classification", model="thoriqfy/indobert-emotion-classification")

results = nlp("Your input text here")
```
{"language": ["id"], "tags": ["indobert", "indobenchmark", "indonlu"]}
transformers pytorch safetensors bert text-classification indobert indobenchmark indonlu id autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #safetensors #bert #text-classification #indobert #indobenchmark #indonlu #id #autotrain_compatible #endpoints_compatible #has_space #region-us 

How to import:


How to use:

TAGS
#transformers #pytorch #safetensors #bert #text-classification #indobert #indobenchmark #indonlu #id #autotrain_compatible #endpoints_compatible #has_space #region-us 
