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:
- 74fa8a768c77830d9b71827e888539fd7101231d3b3fe55820bb9cea017545f0
- Size of remote file:
- 18.2 MB
- SHA256:
- fb0aad235460b06b2fe375cb6becd6a37e51c23cd3d706551a612a57eaf40b0f
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