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:
- 85b55302b8c1a443a4a50c5b11029c03c50258c7fb2a5bedbf57961828d7a46e
- Size of remote file:
- 16.7 MB
- SHA256:
- 64c2619f4b7bdfaa22061f522f23964fe13667c85aa1da5df5b191109e4d2a2c
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