|
--- |
|
language: |
|
- ne |
|
license: apache-2.0 |
|
library_name: transformers |
|
metrics: |
|
- f1 |
|
- accuracy |
|
pipeline_tag: text-classification |
|
|
|
widget: |
|
- text: "हरेक दिनलाई समृद्धि र सुखको साथमा आउन सक्षम बनाउने यो सुंदर धरातल धेरै प्रेरणादायक छ। " |
|
output: |
|
- label: POSITIVE |
|
score: 0.8 |
|
--- |
|
Pre-trained sentiment analysis model for Nepali language. |
|
|
|
# Use a pipeline as a high-level helper |
|
from transformers import pipeline |
|
|
|
pipe = pipeline("text-classification", model="dakkulanthu/nepali-sentiment-analysis-short") |
|
|
|
# Example text data |
|
text_data = """ |
|
बोलेरै कांग्रेसको मागको दोकान बन्द गर्छु भन्नेले विशेष पत्रकार सम्मेलन गरेर बोल्नुस जनताले बुझ्छन्। कांग्रेसले संसद बन्द गरिराखोस्। तपाईले बोल्न बाकी के के रैछ हेरौ। |
|
""" |
|
|
|
# Use the pipeline for sentiment analysis |
|
sentiment_result = pipe(text_data) |
|
|
|
sentiment_result |
|
|
|
|
