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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab2891f50b73ab6a75e789ec309a176107c84e5975de48afe620750f77c61382
- Size of remote file:
- 17.6 MB
- SHA256:
- fce267317649e8f40bf3952094cecada2c178d6bf1c3c79401ced957c15923bc
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