---
language:
- ne
base_model:
- Shushant/nepaliBERT
pipeline_tag: text-classification
library_name: transformers
---
## Nepali Sentiment Analysis
This is a finetuned version of Sushant/NepaliBERT for sentiment classification. It classifies sentiment into 3 categories: Positive, Neutral and Negative.
## Usage
```
from transformers import AutoTokenizer, AutoModelForSequenceClassification 

tokenizer = AutoTokenizer.from_pretrained("Xenserv/NepaliSentimentAnalysis")
model = AutoModelForSequenceClassification.from_pretrained('Xenserv/NepaliSentimentAnalysis', num_labels=3)
```