Instructions to use Erfan/mT5-base_Farsi_Title_Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erfan/mT5-base_Farsi_Title_Generator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Erfan/mT5-base_Farsi_Title_Generator") model = AutoModelForSeq2SeqLM.from_pretrained("Erfan/mT5-base_Farsi_Title_Generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Erfan/mT5-base_Farsi_Title_Generator: direct link, hf CLI and curl.
- Browser
- Download file 66 Bytes
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https://huggingface.co/Erfan/mT5-base_Farsi_Title_Generator/resolve/main/README.md
- Command line
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hf download hf://Erfan/mT5-base_Farsi_Title_Generator/README.md
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curl -L -o README.md https://huggingface.co/Erfan/mT5-base_Farsi_Title_Generator/resolve/main/README.md
66 Bytes
metadata
language:
- fa
tags:
- Title-Generation
metrics:
- ROUGH