Instructions to use hf-tiny-model-private/tiny-random-ElectraForMultipleChoice 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-ElectraForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ElectraForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-ElectraForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 879890bcb23e8f2a34fefb1339634b092fc3cbfa1d4f54f9a8ccaacb64b512cd
- Size of remote file:
- 1.02 MB
- SHA256:
- 8210586e32889b8e93bff90815e6c9abb4f1b1be160a04e8b39cdd846780e9b8
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