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:
- 47153d1ab2b5ca90ffb42dc5c460b37f8e82fb6fb48700cf32a3efdb711f69b6
- Size of remote file:
- 4.54 kB
- SHA256:
- 4ba1f3ee7607380d609e013b7589d291fd66597877e88b392866198029930237
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