Instructions to use hf-tiny-model-private/tiny-random-CanineForMultipleChoice 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-CanineForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-CanineForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-CanineForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eaa3080d7429a6a26e9e26e8da6b61901e580bfb3d8021d9bf47e8f2e36aefdf
- Size of remote file:
- 4.49 MB
- SHA256:
- 4e18fe495b1ca2faf67d7b7487427d2ca959b04f01fcd481bfb752e496c5f846
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.