Instructions to use daze-unlv/microsoft-mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daze-unlv/microsoft-mpnet-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("daze-unlv/microsoft-mpnet-base") model = AutoModelForMultipleChoice.from_pretrained("daze-unlv/microsoft-mpnet-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
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Training in progress, epoch 3
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Training in progress, epoch 1
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initial commit
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