Instructions to use hf-internal-testing/tiny-random-MegaForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegaForMultipleChoice with Transformers:
# Load model directly from transformers import AutoModelForMultipleChoice model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-MegaForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3685c5f3ede44a7d5616d15ecb3f878c21157718e6fae8fac5a87f9f9712429
- Size of remote file:
- 411 kB
- SHA256:
- 40f5c45e8519d49a86e83ab59d5dddfe7a563c7b9b5aca1c865c3564aa8bcb48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.