Instructions to use hf-internal-testing/tiny-random-XLMForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-XLMForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-XLMForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-XLMForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23f91d92beca7a52102562a1a8e1907b26dc0c84abb5ee938ef2e7965fbe6ff0
- Size of remote file:
- 4.28 MB
- SHA256:
- a757bdbbd94fbf1edc6543f6ffaf8416a427e13a6fc3c5625fb6d4ebfbdaa435
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