Instructions to use hf-tiny-model-private/tiny-random-RemBertForMultipleChoice 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-RemBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RemBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RemBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b95bb7116816ac37d6f9b67cc3cf0ab64636c19e86b54574d102037741dfd0dd
- Size of remote file:
- 18.2 MB
- SHA256:
- 9a8cbeb5bad17207b4cdc44f1b28a645101e0d5370d0ddd6c8ea69b208302b6a
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