Instructions to use mahwizzzz/UrduNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahwizzzz/UrduNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mahwizzzz/UrduNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mahwizzzz/UrduNER") model = AutoModelForTokenClassification.from_pretrained("mahwizzzz/UrduNER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53841816b6fe455af334b3cf5fa6b1cfdf1dd79916715376da3ff4caf7f981b5
- Size of remote file:
- 4.09 kB
- SHA256:
- f0f2b4ec49e41e5a7e79f48e9a3c388398becbfaeb36f5d98dfdc17832a2c736
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