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:
- 11e9ee8fddc6c97ff080aa5163c56362819610898a5dff2d248290910d05dd59
- Size of remote file:
- 4.21 MB
- SHA256:
- 0a339ef54f682ab76b774f43c2d4958605bdcff4d4876926937236968f42e18b
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