Instructions to use hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice 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-RoFormerForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e7d89d7a7f5ec78060a909aaf1c9950fa6754ee9622dde3a71297212ffe946e
- Size of remote file:
- 6.58 MB
- SHA256:
- 8acc04f47f6f6548d891a1fa8343e59df9a2253c2c727908ac736999e4025cdd
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