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--- |
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language: |
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- ms |
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tags: |
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- sentiment |
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--- |
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## Malay-Language Sentiment Classification |
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# Overview |
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This model is a fine-tuned checkpoint of [Deberta-V3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall). It enables binary sentiment analysis for Malay-language text. For each instance, it predicts either positive (1) or negative (0) sentiment. Model is trained on all data from https://github.com/mesolitica/malaysian-dataset/tree/master/sentiment. |
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# Use in a Hugging Face pipeline |
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The easiest way to use the model for single predictions is Hugging Face's [sentiment analysis pipeline](https://huggingface.co/transformers/quicktour.html#getting-started-on-a-task-with-a-pipeline), which only needs a couple lines of code as shown in the following example: |
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``` |
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from transformers import pipeline |
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sentiment_analysis = pipeline("sentiment-analysis",model="malaysia-ai/deberta-v3-xsmall-malay-sentiment") |
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print(sentiment_analysis("saya comel")) |
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``` |
