Instructions to use hf-internal-testing/tiny-random-NystromformerForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NystromformerForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-NystromformerForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-NystromformerForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff60a76de71be71b6794125d3f68a795983c8b647e032cd6af1fafb07fcdbd80
- Size of remote file:
- 761 kB
- SHA256:
- 39ee5d0cd20ab9616138d90a6d9c811ed41aba04a95d515bee6d4d5cd42ef0a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.