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Open Source Model Profile · Minej

bert-base-personality

bert-base-personality is a 109.49M-parameter BERT-family text-classification fine-tune from Minej. According to the model card, it predicts Big Five personality traits.

Publisher
Minej
Task
text-classification
Model type
bert
License
mit
Library
transformers
Publication status
Accepted · not indexed

Model overview

bert-base-personality is published by Minej as a text-classification model. The captured configuration identifies BertForSequenceClassification with model type bert, and Safetensors metadata reports about 109.49M parameters. According to the model card, it fine-tunes BERT BASE UNCASED to predict Big Five personality traits from English text.

Recorded capabilities

BERT sequence-classification architecture

The captured configuration identifies BertForSequenceClassification with model type bert and Transformers support.

Five Big Five outputs

According to the model card, the model outputs Extroversion, Neuroticism, Agreeableness, Conscientiousness, and Openness scores.

Documented Transformers usage

According to the model card, the publisher provides Transformers tokenizer and classifier snippets with five labels and torch dependencies.

BERT-base-uncased lineage

According to the model card, the project fine-tuned BERT BASE UNCASED for Big Five personality prediction.

Use cases in the source record

  • Direct personality-trait estimation from user-supplied English text, as described in the publisher's direct-use statement.
  • Hosted-inference classification workflows returning the five documented trait scores for a given input.

Limitations and unknowns

  • No evaluation results were extracted from this record.
  • According to the model card, performance may vary for demographic or cultural groups not well represented in the training data.
  • Provider state is historical snapshot data and should be refreshed before being presented as current.

Source and provenance

Source: Minej/bert-base-personality

Captured: Unknown. Processed: 2026-09-07T19:34:34.280491+00:00.

How to Get Started with the Model To use the model through Hosted inference API, follow the code snippet provided below: from transformers import BertTokenizer, BertForSequenceClassification def personality_detection ( text ): tokenizer = BertTokenizer.from_pretrained( "Minej/bert-base-personality" ) model = BertForSequenceClassification.from_pretrained( "Minej/bert-base-personality" ) inputs = tokenizer(text, truncation= True , padding= True , return_tensors= "pt" ) outputs = model(**inputs) predictions = outputs.logits.squeeze().detach().numpy() label_names = [ 'Extroversion' , 'Neuroticism' , 'Agreeableness' , 'Conscientiousness'…

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