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:
- 7114b6984042416c5c8fd7b11721cdbc2e263c9e74cf8b1bab66c84a8736ba4b
- Size of remote file:
- 181 kB
- SHA256:
- cf590454960e12c473238c8c2cb638b9df2ef66de6a92a7f9ed4e894ead88f3c
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