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:
- 8a3b7d500e6f4bacc788a886274a2a1ff8039ca0e0ea4b7347b2e70d733a0f7d
- Size of remote file:
- 374 kB
- SHA256:
- fe76e791d26bd36b5f60ebb15048c555b9645dc5e4b9baee93e90c7afb9f88e0
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