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 pytorch_model.bin from Alefiah/UrduSum5k: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/Alefiah/UrduSum5k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Alefiah/UrduSum5k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Alefiah/UrduSum5k/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- 663289793e28d9850860bab0a910a3e5ee6c13698089b8c028271369d21903ca
- Size of remote file:
- 1.2 GB
- SHA256:
- d470234b618ab6ddd8e57d3043d2da55b9ec8d4e6e02d388f3d4f208a6a6bbd4
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