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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1f29805bb13584ee07fa6a40a288fff2269f660584782263c034a9ddf7c0cd8
- Size of remote file:
- 3.54 MB
- SHA256:
- f162caafc26294af0c1a6ec9d1d2bc6f484c77c8120e232d2fa505eb90aa5f98
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