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:
- d35061db2145a7d547dee735d00102fa342fc8da1440f908864560f8ad697c95
- Size of remote file:
- 1.34 GB
- SHA256:
- 74976bee9d34d93fb9779559177c772a9e132f720ba9e3dcd2d623bf4d003e5c
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