Instructions to use hf-tiny-model-private/tiny-random-XLNetForMultipleChoice 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-XLNetForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XLNetForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-XLNetForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bd4cb92d791dfb8bef5e6fce60d80e9e156563ef6aa4a3ad17735601cbd0b5b
- Size of remote file:
- 4.38 MB
- SHA256:
- 0e2f6ce90a3f7ee5d44ddd73e106767d0aca75d72ab094048ce7ff61ad87990d
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