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:
- 09abd67bd8140e8cdd79ba4900699e28f7100be78b33b0e56419a408db2115b1
- Size of remote file:
- 16 MB
- SHA256:
- e487739b47726602c2014e4065ebe6bbea336f137cbc79870a90324b48731dee
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