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--- |
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language: en |
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tags: |
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- sentiment-analysis |
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- text-classification |
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datasets: |
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- your-dataset-name |
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widget: |
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- text: "I am so happy with this service, it was great!" |
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license: mit |
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--- |
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## Usage |
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You can load this model directly using the 🤗 Transformers pipeline: |
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```python |
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from transformers import pipeline |
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model_id = "dilexsan/bertweet_base_sentimental" |
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sentiment_analyzer = pipeline("text-classification", model=model_id) |
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text = "I am so happy with this service, it was great!" |
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result = sentiment_analyzer(text) |
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print(result) |
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