Instructions to use alifaheem94/RomanUrduPOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alifaheem94/RomanUrduPOS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alifaheem94/RomanUrduPOS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alifaheem94/RomanUrduPOS") model = AutoModelForTokenClassification.from_pretrained("alifaheem94/RomanUrduPOS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This model is trained on Roman Urdu POS dataset of 100000 tokens.
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