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:
- e7aa2a306a73442527cd71486b8471574ea4ee060fef2e4e48b65dac2c82ec4a
- Size of remote file:
- 2.87 MB
- SHA256:
- e22ca272d045e73152b62ad5fed35093dcb188afde255c00866680ff65cf95bd
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