Instructions to use hf-tiny-model-private/tiny-random-DistilBertForMultipleChoice 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-DistilBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-DistilBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-DistilBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39747299233cdf80be48e2966a5fc54203ddf7a60fd86c8d65b28055abff8aee
- Size of remote file:
- 378 kB
- SHA256:
- 1d9b7cfc0cd7ec4673fd63b27e72e48dc6f4d2addd5cb5a492ec7b406f90d696
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