Instructions to use hf-tiny-model-private/tiny-random-RobertaPreLayerNormForMultipleChoice 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-RobertaPreLayerNormForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64b03fca49eb9803fd00c7c5ab2f37222a4562e5b1097548c72af55b20b381fb
- Size of remote file:
- 355 kB
- SHA256:
- 4773dff2a18e2542ece6c2dab37b9983fb907f2bc47505cbf420d11569a6e2f0
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