Instructions to use Alefiah/UrduSum7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alefiah/UrduSum7 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Alefiah/UrduSum7") model = AutoModelForSeq2SeqLM.from_pretrained("Alefiah/UrduSum7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Alefiah/UrduSum7: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/Alefiah/UrduSum7/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://Alefiah/UrduSum7@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Alefiah/UrduSum7/resolve/refs%2Fpr%2F1/tokenizer.json
16.3 MB
- Xet hash:
- 1c5d936238da7629378cafb75c2aeefd677808ae280ac42627680e3ba41feb51
- Size of remote file:
- 16.3 MB
- SHA256:
- 2da8fdef37429469238f64f0b3ae7eee87b491b3a03d1c04ab052b8a3702b332
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