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:
- 0c5ed7abc501bf1dbf44db8037c4b6ef9aa818f49e5597a0f5270f50b607c830
- Size of remote file:
- 507 MB
- SHA256:
- e446a266728946c2187dc674b2b23c01f84345b5feb65197ab1206b61e70c7a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.