Instructions to use hf-internal-testing/tiny-random-CanineForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CanineForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-CanineForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-CanineForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a1e894ad512b7dea7711c9b6ef5914fa43189c78f82b496135c4e46e47b3fb5
- Size of remote file:
- 4.49 MB
- SHA256:
- a66b86516b058cf94b4905d827ea5e020d86962f6fe78fc9bbfde72a64f86bad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.