Instructions to use Alefiah/UrduSum10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alefiah/UrduSum10k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Alefiah/UrduSum10k") model = AutoModelForSeq2SeqLM.from_pretrained("Alefiah/UrduSum10k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2a5cbf808885e8da78372b168cd448a987d18684136df9ccb47c6bbe655cb63
- Size of remote file:
- 16.3 MB
- SHA256:
- 12cc3b7604dc7bcd9009caabeff04df6ff5f58992cba7d185bd390f72063bead
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