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
- Xet hash:
- a58eca22d20e154154465be9bafc3c9721afcdfa8c97e3b3fa909509ca9cafba
- Size of remote file:
- 3.39 kB
- SHA256:
- 4dc41d2481743f4bb2b11e87b663a0b3c5e3102d218fc492952208173aa36edb
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