Instructions to use hf-tiny-model-private/tiny-random-MobileBertForMultipleChoice 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-MobileBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3d98532e7e2063c327ea6cde3d728dfa063daad17466987016ad9baf9e24d43
- Size of remote file:
- 3.13 MB
- SHA256:
- 3bc128d248a20bca92b4b5e452bad7f55b991d09f93155fd6e665bb90f5d5aef
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