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--- |
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language: |
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- ne |
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base_model: |
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- Shushant/nepaliBERT |
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pipeline_tag: text-classification |
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library_name: transformers |
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--- |
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## Nepali Sentiment Analysis |
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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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## Usage |
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``` |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification |
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tokenizer = AutoTokenizer.from_pretrained("Xenserv/NepaliSentimentAnalysis") |
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model = AutoModelForSequenceClassification.from_pretrained('Xenserv/NepaliSentimentAnalysis', num_labels=3) |
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``` |
