Text Classification
Transformers
PyTorch
Safetensors
English
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use nbroad/longformer-base-health-fact with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/longformer-base-health-fact with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nbroad/longformer-base-health-fact")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nbroad/longformer-base-health-fact") model = AutoModelForSequenceClassification.from_pretrained("nbroad/longformer-base-health-fact") - Notebooks
- Google Colab
- Kaggle
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