Instructions to use Kaspar/modernbert_pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kaspar/modernbert_pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Kaspar/modernbert_pretrained")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Kaspar/modernbert_pretrained") model = AutoModelForMaskedLM.from_pretrained("Kaspar/modernbert_pretrained") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76cfcae741bdb58e59647fce0029f836fba4f003eaa8329f0e79779051048461
- Size of remote file:
- 5.2 kB
- SHA256:
- 99f7c8ffe1378bdf9a3eea34eb1f38ce34da7fc37b3349619d02f2f76865352c
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