Instructions to use k-partha/decision_bert_bio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k-partha/decision_bert_bio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="k-partha/decision_bert_bio")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("k-partha/decision_bert_bio") model = AutoModelForSequenceClassification.from_pretrained("k-partha/decision_bert_bio") - Notebooks
- Google Colab
- Kaggle
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README.md
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Rates Twitter biographies on decision-making preference: Thinking or Feeling. Roughly corresponds to [agreeableness](https://en.wikipedia.org/wiki/Agreeableness)
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Go to your Twitter profile, copy your biography and paste in the inference widget, remove any URLs and press hit!
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Rates Twitter biographies on decision-making preference: Thinking or Feeling. Roughly corresponds to [agreeableness.](https://en.wikipedia.org/wiki/Agreeableness)
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Go to your Twitter profile, copy your biography and paste in the inference widget, remove any URLs and press hit!
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