Instructions to use hf-tiny-model-private/tiny-random-MPNetForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MPNetForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MPNetForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-MPNetForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66f73ad598a43af65053fbae6744be1a546cb17df44e1012734a0861f9a4bc94
- Size of remote file:
- 974 kB
- SHA256:
- 97dcbec84cbe87dbec0911f7212cbe6651897a45a870f0fab8ead890b3cfb94b
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