Instructions to use Ariffiq99/Randomized_Bert_Stacked_model_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ariffiq99/Randomized_Bert_Stacked_model_100 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Ariffiq99/Randomized_Bert_Stacked_model_100") model = AutoModelForMultipleChoice.from_pretrained("Ariffiq99/Randomized_Bert_Stacked_model_100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a69e64dfbde236f88a9c05b6a27f3ad4025ff404a7239d27f7acffdeb384798
- Size of remote file:
- 438 MB
- SHA256:
- ef60290669d62b952c40e4c6f439b3dc3ed9c5b351632f63853a083937711d94
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