Multiple Choice
Transformers
PyTorch
JAX
Persian
multilingual
t5
text2text-generation
mt5
persian
farsi
text-generation-inference
Instructions to use persiannlp/mt5-large-parsinlu-multiple-choice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use persiannlp/mt5-large-parsinlu-multiple-choice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("persiannlp/mt5-large-parsinlu-multiple-choice") model = AutoModelForSeq2SeqLM.from_pretrained("persiannlp/mt5-large-parsinlu-multiple-choice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c465248d3efad5ad8fdb27dc2b3473200d67b6d681acb8e2764ea584c3bf353a
- Size of remote file:
- 4.92 GB
- SHA256:
- f17a4b9d8264335ec2f07320746338695970f485872b7d8b2b128791b7da90e4
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