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:
- 650ff0af0a8b3ecb739c88464653dc57a4823aed5e78b0d56429fa17fcfe5403
- Size of remote file:
- 411 kB
- SHA256:
- 237c21bc11a2c7fa9926450b90dd1044209e4cc948aca196d55447a0d2601b2e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.