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:
- 270c06099414670d345354f10c233c4d75e9d93f1c11c1034629744c83c09757
- Size of remote file:
- 4.21 MB
- SHA256:
- a6014ad1516f9d27d8c9ab1ac9e4be5e4df0cc29ede0b258cec6a1bb43effebf
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