Instructions to use hf-tiny-model-private/tiny-random-IBertForMultipleChoice 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-IBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-IBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-IBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4467c36589dea2150fceb5dd5230a16d5cf01fc2afa98cd0f946d4be5b82058
- Size of remote file:
- 729 kB
- SHA256:
- d0184f86c87ca7f18bed7f2c33cfd1186758608f3bb591c8fad5db116264a4ea
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