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:
- 6af2944537bfed994ad4662a029e8efe7bd35e8751645f1ed444e7aefe700c37
- Size of remote file:
- 4.19 MB
- SHA256:
- 2fdfaa5b2dc8abaa2e787f5a2eb5d05da8118e504958503026acf44d734d1424
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