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:
- 13178ab19421eff1feba9cde27115adc029658ca607ae336cbb8b59d9429a0f2
- Size of remote file:
- 6.68 MB
- SHA256:
- 69e2aa5b2e29849c68d4c3a4a48eb50876e1037568824410f7ebe25252f85eb4
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