Instructions to use Multiperspective/bert-human_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multiperspective/bert-human_label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multiperspective/bert-human_label")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multiperspective/bert-human_label") model = AutoModelForSequenceClassification.from_pretrained("Multiperspective/bert-human_label") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9adbaa7f5babb289e69486005427cf3c3c69d4858a62d7764de0097d5ea47de
- Size of remote file:
- 1.34 GB
- SHA256:
- b38306363dee16e678319c9bc02675e07aebfa724db5857c6581483fa13d1d83
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