Instructions to use hf-tiny-model-private/tiny-random-LongformerForMultipleChoice 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-LongformerForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-LongformerForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-LongformerForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13210eca044eb63cbafca97f930fe3f626703154a7535672a4e19ffc02a8041a
- Size of remote file:
- 416 kB
- SHA256:
- d81cd3e150e5bb0f2371eb1d1050e2bb22c0d478e395671eacb0e9593467b177
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.