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NepaliSentimentAnalysis
Xenserv/NepaliSentimentAnalysis
NepaliSentimentAnalysis is a text classification model from Xenserv. Use it when you need a label for a piece of text. It is set up for transformers.
This is a finetuned version of Sushant/NepaliBERT for sentiment classification. It classifies sentiment into 3 categories: Positive, Neutral and Negative.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 7, 2025
- Updated
- Feb 7, 2025
- SHA
- 3848b9ff
Base models
Model card
From the Hugging Face model README
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)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ne
- Created
- Feb 7, 2025
- Updated
- Feb 7, 2025