---
license: mit
language:
- vi
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
---


## Model Details

Sentiment analysts 

### Model Description

 



- **Developed by:** [Hieudinhpro]
- **Model type:** [fineturn_roberta_model]
- **Language(s) (NLP):** [Vietnamese]
- **License:** [MIT]
- **Finetuned from model [optional]:** [phobert-base-vietnamese-sentiment]


 
# Load model directly
```
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("hieudinhpro/BERT_Sentiment_Vietnamese")
model = AutoModelForSequenceClassification.from_pretrained("hieudinhpro/BERT_Sentiment_Vietnamese")
```


# Use a pipeline as a high-level helper
```
from transformers import pipeline

pipe = pipeline("text-classification", model="hieudinhpro/BERT_Sentiment_Vietnamese")
```