Instructions to use hf-tiny-model-private/tiny-random-AlbertForMultipleChoice 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-AlbertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-AlbertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-AlbertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a46a9e0496a0c2bde1f0fa2f51c51f7525dab3f599e6aa12af3e33d4c30f6c44
- Size of remote file:
- 15.9 MB
- SHA256:
- fb4d839742a48b93c4b66942773a5fa87f46695f494eea3bfe5ca0ae7f45e593
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