Instructions to use hf-internal-testing/tiny-random-MraForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MraForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MraForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-MraForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c3f0a4b780592b726f721d3a84e76c3effbdd44a20c3bb45e0fe3544a03406f
- Size of remote file:
- 181 kB
- SHA256:
- cb9bb7aecfc67022fb19ec86013c1be8bc9f1e42bed12621ddf0fcbae4653a82
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