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:
- 16b2c22202be5657e48d56069da8301bd1392f6f5f34064a6b2789e2050e7dee
- Size of remote file:
- 181 kB
- SHA256:
- 8893cc4e3902cbac73de1852ce841b04313720f7819bc92cc3ba186338400398
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