Instructions to use hf-tiny-model-private/tiny-random-AlbertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-AlbertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-AlbertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-AlbertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92bc763c2dbe1716e715322333595d327c82581130dd9ee9f8c16cdf72de0495
- Size of remote file:
- 15.9 MB
- SHA256:
- 103b50e1e414a11e25b0be694ec7da13c373f07f5702c9f57d16c0a4a9b038ae
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