Instructions to use bashyaldhiraj2067/nepali_citiznship_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bashyaldhiraj2067/nepali_citiznship_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bashyaldhiraj2067/nepali_citiznship_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bashyaldhiraj2067/nepali_citiznship_model") model = AutoModelForTokenClassification.from_pretrained("bashyaldhiraj2067/nepali_citiznship_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78bb8e7f27de596510dce456647245af5804d66cc02aa5ede01d7292c8ae33f6
- Size of remote file:
- 5.37 kB
- SHA256:
- bfb4d55772eec80f7d0a39d631a7a472332c873175ec0326d88afbc83e7b0867
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