Instructions to use hf-internal-testing/tiny-random-MPNetForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MPNetForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MPNetForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-MPNetForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69ff4de07b972aa1c45ccddb26114c3eba0d090f6681858f39251febbb426cf7
- Size of remote file:
- 974 kB
- SHA256:
- 323036126411894475fd7356e3ded0f28c3d922daa7e666fa7f1262b3d603c6e
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