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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMultipleChoice model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-MegaForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-MegaForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 411 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-MegaForMultipleChoice/resolve/539b0ca5a4d199dee5fa1184647ac331dd118cc1/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MegaForMultipleChoice@539b0ca5a4d199dee5fa1184647ac331dd118cc1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-MegaForMultipleChoice/resolve/539b0ca5a4d199dee5fa1184647ac331dd118cc1/pytorch_model.bin
411 kB
- Xet hash:
- 3769970a0b1aeee2e66b9b04a633f86630308eafd88ac996b5568353c803fd2e
- Size of remote file:
- 411 kB
- SHA256:
- 6da2470a814d384eb2d76db58e1772ab45baffe552564803c058fb5f198de153
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