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
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}} |