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:
- c17528d035e9aedf62f926ab697d68f3aa6088d8826f4c2b1dbb424aaa189221
- Size of remote file:
- 1.19 GB
- SHA256:
- 5aba72b6161ae1eeabd427c3be571876c76fe70dd53ea3752d93aafe229f96c8
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