Text Classification
Transformers
PyTorch
JAX
Persian
multilingual
bert
multiple-choice
parsbert
persian
farsi
Instructions to use persiannlp/parsbert-base-parsinlu-multiple-choice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use persiannlp/parsbert-base-parsinlu-multiple-choice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="persiannlp/parsbert-base-parsinlu-multiple-choice")# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("persiannlp/parsbert-base-parsinlu-multiple-choice") model = AutoModelForMultipleChoice.from_pretrained("persiannlp/parsbert-base-parsinlu-multiple-choice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 344d22ef962089ba4906664a1a828d3d4e72166f7a0c6f16f51221f519bbbc97
- Size of remote file:
- 651 MB
- SHA256:
- 5cda9c002b36ca336fe290cb75de0ac38f90790b65969b786df29196e37d0bce
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