Instructions to use hf-tiny-model-private/tiny-random-RobertaForMultipleChoice 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-RobertaForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d80d465a24be933f73d78deff022b071385b42d6f13a7ba2efa8808821c250fe
- Size of remote file:
- 372 kB
- SHA256:
- 8fe2acf6b60adbd0e4b16f880275bfa2267149b242b5a02a7ae40521c42fb6e6
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