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:
- f50c34b60279d60fb36fb4fdb06f58d37b3e30334b46f5d51ece118dced59a7f
- Size of remote file:
- 366 kB
- SHA256:
- de7ad443f383ba9256253e01a53fb62579e8906aa36fd9688bfaa8a6922ec520
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