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")# pip install -U transformers accelerate # 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
Download tokenizer.json from amedvedev/bert-tiny-cognitive-bias: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/amedvedev/bert-tiny-cognitive-bias/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://amedvedev/bert-tiny-cognitive-bias@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/amedvedev/bert-tiny-cognitive-bias/resolve/refs%2Fpr%2F1/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.