Instructions to use Alefiah/UrduSum5k_multi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alefiah/UrduSum5k_multi2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Alefiah/UrduSum5k_multi2") model = AutoModelForSeq2SeqLM.from_pretrained("Alefiah/UrduSum5k_multi2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c5d936238da7629378cafb75c2aeefd677808ae280ac42627680e3ba41feb51
- Size of remote file:
- 16.3 MB
- SHA256:
- 2da8fdef37429469238f64f0b3ae7eee87b491b3a03d1c04ab052b8a3702b332
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