Instructions to use hf-tiny-model-private/tiny-random-RemBertForMultipleChoice 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-RemBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RemBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RemBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fab75dc7c12ea6515e74607f07c3b3f23e2e880c06163917dd0045f50f1d0d8a
- Size of remote file:
- 18.2 MB
- SHA256:
- 4b2d54b4c9b9a6351b4441dcf90fb55b82e6149c180504125f2590ebb6a2f7f1
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