Instructions to use sayyedAhmed/NER-Nepali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sayyedAhmed/NER-Nepali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sayyedAhmed/NER-Nepali")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sayyedAhmed/NER-Nepali") model = AutoModelForTokenClassification.from_pretrained("sayyedAhmed/NER-Nepali") - Notebooks
- Google Colab
- Kaggle
name:
"distilbert-base-nepali" description: "Fine-tuned distilbert-base-nepali for Named Entity Recognition in Nepali." tags: named-entity-recognition nepali-language distilbert-base-nepali
- Downloads last month
- 6