Instructions to use hf-tiny-model-private/tiny-random-RoCBertForMultipleChoice 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-RoCBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RoCBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RoCBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 354e640ec82559f81a06dbe2ffdecbd5e3e87940da63ff669275345f8056bf0d
- Size of remote file:
- 2.98 MB
- SHA256:
- 1c7d0fefbf8776221375b01b89c72700eebb943c6fa43f1f4474a58d47f4c582
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