Instructions to use hf-tiny-model-private/tiny-random-XLMForMultipleChoice 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-XLMForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XLMForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-XLMForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be7985af04f1c1c63b60e03f86cdf25d69841de9873924da460186f3a1c0e375
- Size of remote file:
- 4.19 MB
- SHA256:
- 1e309eaff296e73ce31b7133c2222db32e6c69594daf74221324fc11a86ce42e
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