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")# 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
- Xet hash:
- 741026bc07488db7402d2f8acb2c927b3d4a0311ca8a8e52e41858d2da49a4ba
- Size of remote file:
- 5.24 kB
- SHA256:
- fccdc77e586bfa8793d6f5d99afe06a924c33377a5648ae613c62b9c4f59853c
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