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:
- c8b03895e1783bacf5addaa3df12362958970cdb9204a1c8b1b0a367adf7c611
- Size of remote file:
- 889 kB
- SHA256:
- c296fa8983734b66c60fbde085d5b58faf58e2a7be327a6ea27f2866fa6ac329
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