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:
- c60aefcf6b2c5c13cc4d3631f582944de89c6e4d26c3e99db81f7c33cbfa192e
- Size of remote file:
- 2.82 MB
- SHA256:
- 624d9346db02573eea1da09141bc00259fae71a050bdd1f9dc6389190eb1107d
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