Instructions to use kdutia/cpr-ModernBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kdutia/cpr-ModernBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kdutia/cpr-ModernBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kdutia/cpr-ModernBERT") model = AutoModelForMaskedLM.from_pretrained("kdutia/cpr-ModernBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8e3e29fe3558835a05fde3b019bd945d5320c125c295988dae340ea2e3cb3b0
- Size of remote file:
- 5.2 kB
- SHA256:
- f6c0ba69c3a382f32453d7f4d73fa3d141afc1e21f9fe155f55263c57ed2331a
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