Instructions to use yousufrasheed0900/UrduTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yousufrasheed0900/UrduTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yousufrasheed0900/UrduTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yousufrasheed0900/UrduTokenClassification") model = AutoModelForTokenClassification.from_pretrained("yousufrasheed0900/UrduTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bccd4209e3627d90ef62791839f89b61b8f29570c1177d7aee4f674e7c765704
- Size of remote file:
- 502 MB
- SHA256:
- 65775e80c518afca48afe0fe27d39826c70ea738a85feedc55a22884ad6ccf1c
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