Instructions to use hf-internal-testing/tiny-random-FlaubertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FlaubertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FlaubertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-FlaubertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7328da0d1278a849b5d90c910c24d0420ab06f90f48c23cc543aa73646ede78a
- Size of remote file:
- 8.99 MB
- SHA256:
- 9936a86d9f9407cb3042207a79609dd5c748cee75f66c1a4511411fd0e573762
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