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:
- b5216a8028415647057101f0605fdb7be0b00b502bfb22db4a2e59d7cba71021
- Size of remote file:
- 1.07 MB
- SHA256:
- 88f0d03669f0f28c1cb821e37b265ccae041770441e159c7d8e9b473cf6e7bb5
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