Instructions to use lear-lab/modernbert_authentic_multirc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lear-lab/modernbert_authentic_multirc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lear-lab/modernbert_authentic_multirc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lear-lab/modernbert_authentic_multirc") model = AutoModelForSequenceClassification.from_pretrained("lear-lab/modernbert_authentic_multirc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0bfd965a2cdf34b0afceb39930b405137f3974336c5ab7a5c2cda070734aa9b
- Size of remote file:
- 598 MB
- SHA256:
- ead5658a2dc727536b7887684ce540d353a396a8369f9f8319a1eb49fd6f3472
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