Transformers
PyTorch
Hindi
t5
text2text-generation
t5-leaderboard
Generated from Trainer
text-generation-inference
Instructions to use Hunzla/output_urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hunzla/output_urdu with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hunzla/output_urdu") model = AutoModelForSeq2SeqLM.from_pretrained("Hunzla/output_urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c738ec2bce8be798e440932c65db4d29c837b74f4648d88d2f07e13f504dd4f
- Size of remote file:
- 892 MB
- SHA256:
- 861b49375fa113d33ec9a069a39fb0e00e0a641f901a6f14021a906f3182cfc2
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