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:
- d43628009ab1c9f391888bd2782ebcca663aa67aaa14ac945d5b55545fd8db67
- Size of remote file:
- 470 kB
- SHA256:
- 5f916b6b4a874cdd91bf7d768f2ff00c4ae5d31612392e53aae6ad0a7ed62233
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