Instructions to use Alefiah/UrduSum5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alefiah/UrduSum5k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Alefiah/UrduSum5k") model = AutoModelForSeq2SeqLM.from_pretrained("Alefiah/UrduSum5k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Alefiah/UrduSum5k: direct link, hf CLI and curl.
- Browser
- Download file 4.15 kB
-
https://huggingface.co/Alefiah/UrduSum5k/resolve/main/training_args.bin
- Command line
-
hf download hf://Alefiah/UrduSum5k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Alefiah/UrduSum5k/resolve/main/training_args.bin
4.15 kB
- Xet hash:
- 38a7ea646bf253d768ab4e4b57909427e3c3b01283c27091dd9625588686d457
- Size of remote file:
- 4.15 kB
- SHA256:
- d5776c4017558428ed4e30b99f5d1acfa3ecf306259e5cb842e38063112483c7
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