Instructions to use hf-internal-testing/tiny-random-LongformerForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-LongformerForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-LongformerForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-LongformerForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e669804548e5a43ad3d9cf3eb9f3c0d14b7f79727daae15bbe0703d34b94f2fd
- Size of remote file:
- 441 kB
- SHA256:
- 867eb3d24e2543687004ede0337d177a6917b79e76451fe5484600ac5c24d505
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