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:
- e668fd93c6cdd5997892dc2356a075c1471e1ea8bde2fab2ce0c5540d0c5ae52
- Size of remote file:
- 18.2 MB
- SHA256:
- aa84a561ae54444e80d7287d7e03839992f15cd9d0070bbec71ee2825c564d09
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