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