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:
- 5135251ebccb01fb5d50e584e3ed97c8470746ecec64da481aca2ab880382d4f
- Size of remote file:
- 3.96 kB
- SHA256:
- 95a2073c81110e85651b885484248a46b22777fb3560252d593ada364f3c7dbc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.