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)

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Safetensors

Model size

0.1B params

Tensor type

F32

Model tree for Xenserv/NepaliSentimentAnalysis

Base model

Shushant/nepaliBERT

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(2)

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