Instructions to use hf-internal-testing/tiny-random-AlbertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-AlbertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-AlbertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-AlbertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74083090582a79fc6f54fb9d7987cc89c20a4d33158402c0dfc4b60e197bc48c
- Size of remote file:
- 16 MB
- SHA256:
- 7dc2cbc856f47a6b8c2f581f956b3448e2e5f27d72f3703936dd63acb25d3bd9
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