Instructions to use Datamance/Longformer-ARDS-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Datamance/Longformer-ARDS-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Datamance/Longformer-ARDS-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Datamance/Longformer-ARDS-classifier") model = AutoModelForSequenceClassification.from_pretrained("Datamance/Longformer-ARDS-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7b2843a20c995d375cdd6a080bd532b5110a1cbaa1d4be10fa4f1e03cb68289
- Size of remote file:
- 595 MB
- SHA256:
- d4da4f1d4d6f0ef4db8385ad2d7d4504a9d6947044de9dfdf69de28970907be0
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