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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d136df7e9d55824ff1ce7737e07580af86784023a4bac75ad0d6a69e28ee3287
- Size of remote file:
- 441 kB
- SHA256:
- fd247844754fbbbf4547e9f10bf3ddc87092dbaeef5a10015207f04b48d10794
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