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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://persiannlp/mt5-base-parsinlu-multiple-choice/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/persiannlp/mt5-base-parsinlu-multiple-choice/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- 96a985a55e4f52707c5c78db131bc8f57ad3216475354eca4a0b45e79a9b2ff1
- Size of remote file:
- 2.33 GB
- SHA256:
- 261d9466e5f1657e2fc03c447a0afc64f73531e8547a82af7ed3aa47e47ae9d4
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