Instructions to use holistic-ai/bias_classifier_albertv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use holistic-ai/bias_classifier_albertv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="holistic-ai/bias_classifier_albertv2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("holistic-ai/bias_classifier_albertv2") model = AutoModelForSequenceClassification.from_pretrained("holistic-ai/bias_classifier_albertv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from holistic-ai/bias_classifier_albertv2: direct link, hf CLI and curl.
- Browser
- Download file 2.27 MB
-
https://huggingface.co/holistic-ai/bias_classifier_albertv2/resolve/main/tokenizer.json
- Command line
-
hf download hf://holistic-ai/bias_classifier_albertv2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/holistic-ai/bias_classifier_albertv2/resolve/main/tokenizer.json
2.27 MB
File too large to display, you can check the raw version instead.