Instructions to use hf-internal-testing/tiny-random-MraForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MraForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MraForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-MraForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d186e9d3900b138482f4be296bbb51e48dca6511b3846b7354435aec1e053966
- Size of remote file:
- 181 kB
- SHA256:
- 06f6c147ef0c0cd095da20bc3d9cec85bdadfd3cd28d1bc6371e0892bc2cd570
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