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:
- bd6cb2b795205fa5bc0d29f97bec9cd86a337afbe6162953d2cadd7f0387bbdb
- Size of remote file:
- 955 kB
- SHA256:
- 55c31cfc8b04bc712dc0cc0a2c3ac79b1cef039a2a754de3a117a6c69c468e26
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