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:
- 9156ed7156ed046754fb7cff5d07487ef48f812a665fb38ade5d494ae2062084
- Size of remote file:
- 4.46 MB
- SHA256:
- edf3ed19fb87607e07c114bbd99f1d4dff83b03dca0b193a471d5245454e3db1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.