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:
- c394cf4a571123a52fa6459e07c9308ef84521c0e0cb0c5f66cfbbccca82a9b6
- Size of remote file:
- 181 kB
- SHA256:
- e3a1bc577bbb43c4b6c8f5b4ecfe6293fffcb22335a74e0a7f1920e66f2a582d
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