Instructions to use llangnickel/long-covid-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llangnickel/long-covid-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="llangnickel/long-covid-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("llangnickel/long-covid-classification") model = AutoModelForSequenceClassification.from_pretrained("llangnickel/long-covid-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c8f2667a43df3221a9547c73070529fcdfd785c899242b40a833aab53e0539e
- Size of remote file:
- 433 MB
- SHA256:
- 26ff46f8f62a152d2fc2b5716eba17391531a802eb0512873f189094fb24214d
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