Instructions to use k-partha/curiosity_bert_bio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k-partha/curiosity_bert_bio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="k-partha/curiosity_bert_bio")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("k-partha/curiosity_bert_bio") model = AutoModelForSequenceClassification.from_pretrained("k-partha/curiosity_bert_bio") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Labels Twitter biographies on Openness, strongly related to intellectual curiosity.
Intuitive: Associated with higher intellectual curiosity
Sensing: Associated with lower intellectual curiosity
Go to your Twitter profile, copy your biography and paste in the inference widget, remove any URLs and press hit!
Trained on self-described personality labels. Interpret as a continuous score, not as a discrete label. Have fun!
Note: Performance on inputs other than Twitter biographies [the training data source] is not verified.
For further details and expected performance, read the paper.
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