Instructions to use hf-internal-testing/tiny-random-IBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-IBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-IBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-IBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5045a1db019faaa4cd25273afafb2b9123159396f8db34ce4150007fa299d9fc
- Size of remote file:
- 818 kB
- SHA256:
- ae179230fc2e44ee4b1707e4c579ef97bdd170bd06caa6ccba273e9003e02690
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