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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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