Multiple Choice
Transformers
PyTorch
Persian
multilingual
t5
text2text-generation
mt5
persian
farsi
text-generation-inference
Instructions to use persiannlp/mt5-large-parsinlu-arc-comqa-obqa-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-arc-comqa-obqa-multiple-choice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("persiannlp/mt5-large-parsinlu-arc-comqa-obqa-multiple-choice") model = AutoModelForSeq2SeqLM.from_pretrained("persiannlp/mt5-large-parsinlu-arc-comqa-obqa-multiple-choice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b399f3410cc29a3fc5731f6a97cc4c2b74e61ad2b8713cb810606022f4c5980d
- Size of remote file:
- 4.92 GB
- SHA256:
- 9239e284476986104bf83cf4478cecbb9ab3a6cb8c918fa392e24e75759847c9
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