Instructions to use hf-internal-testing/tiny-random-RemBertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RemBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RemBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-RemBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84737333ed5c33ece16dcdd9d0b58daf8cd3d0087035f518ec6ed1cedcb604f5
- Size of remote file:
- 18.3 MB
- SHA256:
- f1426de5ce807a028a712f1ec3cf752635cf1940ff038008b1dce17e378e95cb
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