Instructions to use hf-internal-testing/tiny-random-BertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-BertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdb9502d7c7b46f56bde912fe7ae2c2a80ab3c98ab0546b92522d1371b27b19e
- Size of remote file:
- 481 kB
- SHA256:
- 9df3d4f85c9971da790d2eaae1b5cfc11f1f0393d86b69fde099d472b3042c49
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