Instructions to use mohammadmahdinouri/mol-modernbert-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammadmahdinouri/mol-modernbert-checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mohammadmahdinouri/mol-modernbert-checkpoints")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("mohammadmahdinouri/mol-modernbert-checkpoints", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 413088101f99ade167721db6348715d4972784d246a9640a9586112544bd32da
- Size of remote file:
- 152 MB
- SHA256:
- 8b70b96b7bc49c7fa78035f29eeabfa59d13682a4b17ef0e3b50d82e36973478
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