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:
- e1d61b8c71c13d2dc4d3034aa9141498996684f42573e278f6c25cc6456f9744
- Size of remote file:
- 2.96 MB
- SHA256:
- 9d7efdb46a5be77ccf7f76945bbdd9e84c25f33fe9301e07bb6d4c2d0a5704fe
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