Instructions to use nasa-impact/bert-e-base-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nasa-impact/bert-e-base-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nasa-impact/bert-e-base-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nasa-impact/bert-e-base-mlm") model = AutoModelForMaskedLM.from_pretrained("nasa-impact/bert-e-base-mlm") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md f8e5108
save as bertmodelformaskedlm rather than automodel 8afbc45
update number of papers in readme file 92a3afc
update model to v2: uses 270k papers and MLM 190daaa
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