Instructions to use BigSalmon/MrLincolnBerta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/MrLincolnBerta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigSalmon/MrLincolnBerta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/MrLincolnBerta") model = AutoModelForMaskedLM.from_pretrained("BigSalmon/MrLincolnBerta") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Example Prompt:
informal english: things are better when they are open source, because they are constantly being updated to enhance experience.
Translated into the Style of Abraham Lincoln: in the open-source paradigm, code is ( ceaselessly / perpetually ) being ( reengineered / revamped / polished ), thereby ( advancing / enhancing / optimizing / <mask> ) the user experience.
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