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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from urduhack/roberta-urdu-small: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/urduhack/roberta-urdu-small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://urduhack/roberta-urdu-small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/urduhack/roberta-urdu-small/resolve/main/flax_model.msgpack
504 MB
- Xet hash:
- 65cf366cdd568b8ced8bc83fb4882bc91573959469ad0133539c29add68b0c31
- Size of remote file:
- 504 MB
- SHA256:
- a779018a805d365b6c47112e877aa6bff03c70098ff90439948c1a10d9498c6e
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