Multiple Choice
Transformers
PyTorch
JAX
Persian
multilingual
t5
text2text-generation
mt5
persian
farsi
text-generation-inference
Instructions to use persiannlp/mt5-base-parsinlu-multiple-choice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use persiannlp/mt5-base-parsinlu-multiple-choice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("persiannlp/mt5-base-parsinlu-multiple-choice") model = AutoModelForSeq2SeqLM.from_pretrained("persiannlp/mt5-base-parsinlu-multiple-choice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from persiannlp/mt5-base-parsinlu-multiple-choice: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/persiannlp/mt5-base-parsinlu-multiple-choice/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://persiannlp/mt5-base-parsinlu-multiple-choice/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/persiannlp/mt5-base-parsinlu-multiple-choice/resolve/main/flax_model.msgpack
2.33 GB
- Xet hash:
- ec46539251760890ac06381d5c5b0ea193c917031bab7bb3d8de2a95887a75de
- Size of remote file:
- 2.33 GB
- SHA256:
- 26760bdab5d134a7725f576e0d6afbaa08b266c84818dc2f37da6a015272ff33
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