Instructions to use hf-tiny-model-private/tiny-random-MegatronBertForMultipleChoice 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-MegatronBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e51437ccea51faa28d538a5118740f7ed494bfe4231d2ba9d8a50c17da02ee86
- Size of remote file:
- 907 kB
- SHA256:
- ee2470a1a4ce397662a5ae47bcb61613f9a2087a52d4dadc97524c158a170565
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