Fill-Mask
Transformers
English
masked-language-modeling
summarization-evaluation
entity-infilling
mars
modernbert
Instructions to use Glazkov/mars-shared-cross-attention-modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Glazkov/mars-shared-cross-attention-modernbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Glazkov/mars-shared-cross-attention-modernbert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Glazkov/mars-shared-cross-attention-modernbert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K