Text Classification
Transformers
PyTorch
Safetensors
English
bert
psychology
cognitive distortions
text-embeddings-inference
Instructions to use amedvedev/bert-tiny-cognitive-bias with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amedvedev/bert-tiny-cognitive-bias with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amedvedev/bert-tiny-cognitive-bias")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amedvedev/bert-tiny-cognitive-bias") model = AutoModelForSequenceClassification.from_pretrained("amedvedev/bert-tiny-cognitive-bias") - Notebooks
- Google Colab
- Kaggle
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# Classification of Cognitive Distortions using Bert
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## Problem Description
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**Cognitive distortion** refers to patterns of biased or distorted thinking that can lead to negative emotions, behaviors, and beliefs. These distortions are often automatic and unconscious, and can affect a person's perception of reality and their ability to make sound judgments.
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# Classification of Cognitive Distortions using Bert
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><span style="color:red">This article is under development. Please use the model for retraining on your data, not a "ready to use" solution.</span>
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## Problem Description
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**Cognitive distortion** refers to patterns of biased or distorted thinking that can lead to negative emotions, behaviors, and beliefs. These distortions are often automatic and unconscious, and can affect a person's perception of reality and their ability to make sound judgments.
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