Instructions to use hf-tiny-model-private/tiny-random-ErnieMForMultipleChoice 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-ErnieMForMultipleChoice with Transformers:
# Load model directly from transformers import AutoModelForMultipleChoice model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-ErnieMForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 743d53adba3f598cfd33bbf2dc94d1d788e7ad02b2fbe43ddc8c95f71ebbed80
- Size of remote file:
- 32.2 MB
- SHA256:
- 6bca8f90a0dc66b5be90d69fadb509fb2ea791b11be802f4f95dc930f8352c60
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