Instructions to use hf-internal-testing/tiny-random-RoCBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RoCBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RoCBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-RoCBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4d93d4d3c50bdc389acb0c88e0b532809f722f854a5e4262930cce3be8c43fc
- Size of remote file:
- 2.96 MB
- SHA256:
- 1a0d3a19d077b3dbdd78537c4547fe2d89d365a57ccbffe290fab0bf22536a79
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