Instructions to use urduhack/roberta-urdu-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use urduhack/roberta-urdu-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="urduhack/roberta-urdu-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("urduhack/roberta-urdu-small") model = AutoModelForMaskedLM.from_pretrained("urduhack/roberta-urdu-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4c2593fc0118271379b4244b0da0dacc57c2b7fb920dd9274dd124fe5c7a811
- Size of remote file:
- 1.22 kB
- SHA256:
- 757ab64b4dfc87a2defc6b70f944171be5e6fdc642c0e53e633be2bd4ac766d7
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