Instructions to use ydshieh/tiny-random-AlbertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-AlbertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-AlbertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("ydshieh/tiny-random-AlbertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0b73af81525e40bda2e748c20e01b8b0234d7136c8c111e088fd616f7e2e84f
- Size of remote file:
- 1.06 MB
- SHA256:
- d26dd09982fcc3b39b9a031af1fe914873065a98c114261f69ee36cbd713d70e
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