Fill-Mask
Transformers
Safetensors
English
modernbert
masked-language-model
dictionary
encyclopedia
glossary
embeddings
Eval Results (legacy)
Instructions to use mjbommar/ogbert-v1-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjbommar/ogbert-v1-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mjbommar/ogbert-v1-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mjbommar/ogbert-v1-mlm") model = AutoModelForMaskedLM.from_pretrained("mjbommar/ogbert-v1-mlm") - Notebooks
- Google Colab
- Kaggle
Ctrl+K