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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccf97a9c97c19099fbbfcfc098797968c1871a09f79cb08575078630faf8bfde
- Size of remote file:
- 438 MB
- SHA256:
- 608f4e2acb02c98af4907ffcb7732115d86b9548bb3ecaba3b39f1d7765041ce
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