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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd1bb25c388022e5289301d5a376fe2b95571d1378c50f8775186ad5edc5cbf3
- Size of remote file:
- 955 kB
- SHA256:
- c427ece39cfd34c40f370ce0bb5f531265f0913741f35379503a92705fde8eb9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.